These are additional assets related to this Substack post on Alfred North Whitehead’s Science and the Modern World, the chapter on Quantum Theory. It starts like this…
I’ve just finished Whitehead’s chapter on quantum theory in Science and the Modern World. Allowing for the obvious fact that he’s writing from the vantage of 1925, I found this chapter considerably closer to my own way of thinking than some of what preceded it.
What particularly caught my attention was his treatment of the electron.
The classical picture encourages us to imagine a tiny object orbiting a nucleus, rather like a planet around a star. Even when we know that this picture is inadequate, the noun electron still invites us to imagine some enduring thing which persists whilst changing position or state.
Below are summaries in video and podcast format as well as 16 related PDF slides. The fill article is available on my Substack.
I had already decided there were limitations to this notion, but I feel it’s still useful. The way I see it, affordance instantiates with an encounter. Stairs don’t have affordances as attributes absent interaction. Generalised, affordance is a function where one needs something like this
A = {subject:object:index:context}
where the subject is the sentient or animate entity, let’s say the chimps in this image; the object is the encountered item, say the bench; the index is the affordance, say sitting or standing, and the context is a salience (or valence or attention) modifier.
In the case of sitting, I may not be tired or particularly interested in sitting. The bench still affords sitting, but I don’t instantiate the act.
Taking stairs as a more common example, if I am a typically abled human adult, stairs afford climbing (ascending and descending), but if I am relegated to a wheelchair, no such affordance relationship exists. This helps to explain why affordance isn’t an attribute of the stairs, but rather of the encounter.
Water to a non-swimmer doesn’t afford swimming any more than a tree affords climbing for a fish – and yet does for a chimp.
I posted this article on Substack: The Philosophers Are Here. Which Philosophers? Some companies are making a big deal about hiring philosophers and ethicists to help then with AI, especially AI companies. Isn’t that grand? My point is that companies only make decisions that they think will support rather than undermine their positions, so they are hiring philosophers sympathetic to their worldviews. They are not hiring, for example, me.
In fact, when I was a management consultant, one of my biggest challenges is that I don’t support capitalism, and I find much of business unethical. To add insult to injury, every year I had to take ethics training and take a test with an attestation that I have not witnessed any unethical behaviour. However, what they qualified as unethical behaviour was in fact illegal behaviour. They didn’t seem to understand the difference – or at least didn’t care very much.
Read the full article on Substack, or watch or listen to a summary on YouTube or Spotify.
I discovered a WordPress widget and decided to share my reading progress, but it appears to show the last few books I’ve finished rather than my active list. Click on My Bookshelf to view more.
I read several books at once. I tend to read a fiction and several non-fiction books. The fiction books happens to be an audiobook, which I tend to listen to whilst I am working out: Carl’s Doomsday Scenario: Dungeon Crawler Carl (book 2). It’s more of a diversion – and entirely unserious, though I did find a quote on Understanding, my latest essay project still in progress.
I can’t really recommend a book to people because I don’t know their tastes and interests. As for the Dungeon Crawler series, if you like RPG gaming culture and lore, you may appreciate the humour of LitRPG. It’s stupid fun.
On the serious side, I’ve mainly been milking a few titles;
Being and Time, An Annotated Translation: Martin Heidegger
Against Progress is a short collections of essays that I tend to travel with and read an appointments and such. I’ve read almost half of them, but I’m still reading.
I’m very close to finishing Reasons and Persons. I’t not exactly a page turner, but it is engaging. It’s inspired several essays here, so I have to suggest that it’s worth the read, as long as it is.
I’ve read Being and Time before, but I wants to take a gander with this new translation and check out the annotations. Since I’ve already read it and have ideas about it, I am more critical of some of the early annotations than a fresh book, but this is also on a slow –when I have time – track.
Of course, one could argue that I would have time if I weren’t reading non-fiction, and one would be correct. However, the level of attention required differs significantly.
NB: I have been drafting an essay on “understanding understanding”, so the IAI article this is based on was perfectly salient. These are my reflections, expedited by ChatGPT.
Audio: Google Notebook summary podcast of this topic.
Elan Barenholtz has written an intriguing piece for the Institute of Art and Ideas, LLMs show language does not describe reality. It is well worth reading, though apologies in advance: IAI has put much of it behind a paywall, humanity’s traditional method for ensuring that ideas about knowledge remain selectively accessible.
Barenholtz argues that large language models present an awkward problem for the familiar idea that language derives meaning by referring to, representing, or somehow grounding itself in an external reality. LLMs manipulate relationships among linguistic tokens without anything resembling ordinary human sensory access to the world, yet nevertheless produce remarkably coherent linguistic behaviour.
It doesn’t necessarily demonstrate that language has no referential function, nor that human cognition is simply next-token prediction writ biological. But it does show that a substantial amount of what we ordinarily take as evidence of linguistic understanding can apparently emerge without the machinery we previously assumed was necessary for it. That should make us suspicious of the machinery.
My own position begins slightly elsewhere. I don’t assume that humans possess privileged access to an ontic reality against which artificial systems can be judged deficient. Whatever reality may exist independently of us, humans encounter it through an architecture of mediation: sensory systems, neural processing, linguistic categories, cultural practices, institutional structures and prior expectations. We don’t encounter the proverbial chair as it is. We encounter what our particular architecture permits the chair to become for us.
In this respect, the difference between humans and current LLMs is not that humans are grounded whilst LLMs float mysteriously above reality. The difference is that the architectures of encounter are different. Humans possess direct sensory and motor coupling of kinds that text-based LLMs lack. We see, hear, touch, move, fall over objects and occasionally stub our toes against them, reality’s least philosophically subtle contribution to epistemology.
But this difference is technological rather than obviously metaphysical. Vision, audition, spatial navigation, tactile sensing and motor feedback can all be incorporated into artificial systems. Robotics already does precisely this. Such systems need not perceive as humans perceive, any more than bats, dogs or octopuses do. They merely require channels through which external constraints can affect their behaviour. Embodiment therefore changes what can constrain a system. It does not, by itself, establish ‘understanding’.
The more substantial difference between humans and contemporary artificial systems may instead be existential stakes.
Things can go badly for organisms in a particularly uncompromising sense. We can be injured, starved, abandoned, exhausted or killed. Our encounters occur against a biological background in which outcomes matter because continued existence itself is conditional. An LLM doesn’t presently possess comparable stakes. Nothing is obviously at risk for it. But this distinction is not really about cognition.
A bacterium has existential stakes. A language model can solve differential equations. Whatever distinguishes those two systems, it would be peculiar to call the difference ‘understanding’.
Stakes may explain motivation, vulnerability, affect or perhaps moral consideration. They do not automatically explain inference, linguistic competence or cognition. To claim otherwise requires an additional argument.
This is why LLMs pose such an interesting philosophical irritation. They do not prove that machines understand. They expose how poorly we have specified what we meant when we claimed that humans do.
If understanding requires successful inference, contextual discrimination, generalisation and appropriate linguistic response, artificial systems already make the boundary uncomfortable.
If understanding instead requires consciousness, intentionality, phenomenology, genuine meaning or some other internal property, then those terms themselves require defensible criteria. Otherwise the explanation merely replaces one contested word with another.
Barenholtz writes that ‘language doesn’t mean; it does’. I am sympathetic to the deflationary impulse. I would perhaps go one step sideways. Language needn’t provide transparent access to reality in order for reality to constrain language. Nor must a system represent the world perfectly in order to negotiate its encounters with it.
Humans and artificial systems may therefore differ profoundly without either possessing privileged access to things as they ontically are. The interesting question isn’t whether LLMs encounter reality as humans do. Plainly they don’t.
The interesting question is why we assumed that the human manner of encounter constituted the metaphysical entrance examination for understanding in the first place.
Every year, apparently, somebody wins happiness. Recently it has often been Finland. The headlines arrive with the confidence of a football result: Finland is the happiest country in the world. One imagines the Finns receiving a small trophy, perhaps in a sauna.
The claim sounds empirical. It sounds as though something called happiness has been located, measured, aggregated, ranked and compared across national borders. There are, of course, surveys behind such rankings, and those surveys may be perfectly competent at measuring what they actually measure: reported life satisfaction, evaluations of present circumstances, perceived social support, security, income, institutional trust and related variables.
But that is already quite different from saying that Finns possess more happiness than everybody else.
Salience, attention, valence and the construction of disposition
Today I live about 90 minutes out of Boston by car on a good day – and 2 hours on a return trip because I live in Cape Cod, a tourist area, so I tend to have to compete with traffic. Today, it took over 2 and a half hours, a Friday afternoon, trapped among boat and beach seekers. I don’t drive, so I require chauffeurs to get me here and there. Today I driving with a bloke for whom traffic possesses unusual psychological gravity. He seems to have traffic and weather on the brain – and don’t get me started on crime, national security, and petrol prices.
Audio: NotebookLM summary podcast of this topic.
I’ll spare the reader the trip up, which was fairly easy, despite traffic-related side comments whenever inappropriate. On the way back and at the first patch of congestion, he harrumphed and announced that we would certainly be stuck in traffic for the entire journey. I checked the Google Maps. Traffic was intermittent, and I told him so.
Soon afterwards, the road cleared. We travelled freely for miles – no traffic to report – but when we later encountered another queue, however, he declared that his prediction had been vindicated. On arrival, he told others that we had been stuck in traffic ‘the whole way’.
Two people; the same reality; different experiences. I got me thinking – and chatting with ChatGPT because the driver was focused on driving – and of course the misery of traffic.
Here’s the rest of the story: The traffic didn’t occupy the whole journey. To him, it occupied the portions of the journey that counted. The clear road was perceptually available but apparently lacked evidential weight. It was experienced without being recruited into the eventual account.
Noticing the divergence between out perceptions, I tried to reconcile. First, I considered filing this under selective attention and confirmation bias, that great psychological lost-property office into which every untidy inference is now deposited, but this doesn’t feel quite right; it doesn’t seem to capture the essence.
Before a belief can be confirmed by evidence, something must first become evidence, right? So, the more interesting question isn’t merely why this geezer interpreted the journey pessimistically, but why congestion became salient whilst free movement receded into the background. What determines which parts of experience become psychologically substantial?
Here’s how I see it:
I tried to view this through lenses of salience, attention and valence. First, a quick refresher:
Salience concerns what stands out, demands processing or acquires significance.
Attention concerns the allocation and maintenance of cognitive resources.
Valence concerns the positive or negative affective character assigned to something.
Traffic may be salient because it frustrates an aim. Its negative valence may help capture attention. Sustained attention may then produce richer encoding, making the traffic easier to recall. Later recollection may strengthen the prior belief that journeys are usually obstructed, which may increase vigilance for traffic during the next journey. No single element need rule the others.
The relation is recursive:
disposition shapes salience
salience directs attention
attention affects encoding
valence influences interpretation
memory reconstructs the event
reconstruction reinforces disposition
And even this is too linear, but here we are. Attention can alter valence. Bodily arousal can alter salience. Memory can modify present interpretation. Expectations can affect what is noticed before conscious appraisal has properly begun. The arrows run in both directions, and probably sideways as well.
The result isn’t simply a biased opinion about a neutral world. It’s a patterned encounter wherein some features arrive already amplified and others scarcely become legible.
Pessimism: Disposition as an epistemic filter
This got my pondering mental health issue. I’m not a psychologist, and I discount the discipline quite heavily, but I wanted to consider the notion of disposition. How can two people quite literally in the same vehicle on the same journey view the world so differently. Of course, we are all carved by our experiences, but this is a reciprocating function: the more we experience the world positively or negatively, the more the world will reveal itself as such. Confirmation bias drives the nails into the coffin.
Let’s look at the down side: pessimism. I don’t mean some clinical depression, but instead of seeing the world with no glasses, and rose-coloured spectacle, the world is view with dark glasses – I’m envisioning a welder’s visor. One could stare at the sun and proclaim it’s overcast. Eyeore on steroids.
A pessimistic disposition might usually described as a tendency to expect bad outcomes. And whilst this may be true, it’s incomplete. Pessimism may also affect what is noticed, how long attention remains with it, how it is interpreted, and what survives into later recall. This is my thesis – or at least my point. The unpleasant becomes an event. The satisfactory becomes the absence of an event.
Congestion is noticed; free movement is merely used. An insult is retained; an ordinary kindness passes as social administration. A failure requires explanation; success is dismissed as luck, temporary relief or an exception that proves nothing.
This asymmetry can make a disposition appear empirically vindicated. The pessimist remembers abundant evidence for pessimism because pessimistically congruent events were more likely to become salient, receive attention and survive reconstruction. The conclusion is then presented as realism:
I don’t expect things to go badly because I am pessimistic.
I am pessimistic because experience shows that things go badly.
Yet ‘experience‘ here isn’t an untouched archive. It’s already been selected, weighted and narrated.
Research on depression is compatible with this more interactive account. Depression and vulnerability to depression have been associated not only with increased processing of negative material but also with diminished positive biases across attention, interpretation, memory and self-referential thought. The pattern is therefore not merely an excess of negativity. It may also involve a failure of positive information to acquire or retain ordinary psychological weight.
A negatively valenced event may dominate because it attracts unusually strong attention. But an apparently negative world might also arise because positive events are weakly encoded, rapidly discounted or treated as anomalous. The same remembered landscape could therefore emerge through different cognitive routes.
Before I continue, a disclaimer: I am not trying to claim that my perception is correct and his isn’t. I’m merely asking how we end up with distinct narratives. It reminds me of the beginning of Woody Allen’s Annie Hall, where a couple are speaking to counsellors. A therapist asks about their love life:
Alvy Singer (him) and Annie Hall (her) are seeing their therapists at the same time on a split screen
Alvy’s Therapist: How often do you sleep together?
Annie’s Therapist: Do you have sex often?
Alvy: [lamenting] Hardly ever. Maybe three times a week.
Annie: [annoyed] Constantly. I’d say three times a week.
The interesting think here, is that both are disappointed for the same event one because sex is over-indexed and the other because it is under-indexed.
Moving on…
Anxiety and the world as warning
Anxiety offers a related configuration. Threatening material tends to capture attention more strongly in anxious populations, although effect sizes, experimental measures and the direction of attention over time are not perfectly uniform. Some people may orient rapidly towards threat; others may struggle to disengage; still others may shift from vigilance to avoidance. The bureaucracy of diagnosis naturally prefers a single box, whilst cognition persists in behaving like a process.
Interpretation and memory may then participate in the same system. An ambiguous expression becomes disapproval. A delayed reply becomes rejection. A bodily sensation becomes evidence of illness. Each interpretation increases anxiety; increased anxiety makes threat more salient; heightened salience provides further material for threatening interpretation.
Research on anxiety increasingly examines these as interacting biases rather than sealed mechanisms. Attention, interpretation and memory can be associated with one another, though the evidence does not support a single simple causal sequence in every case.
The important point is not that the danger is imaginary. Sometimes the road really is congested. Sometimes the delayed reply does indicate trouble. Sometimes the body is ill. The question is how individual events acquire representative force and how readily contrary events are permitted to revise the emerging model.
When significance itself becomes unstable
In some accounts of psychosis, salience plays a still more direct role. The aberrant-salience hypothesis proposes that neutral or incidental stimuli may acquire excessive significance, leaving the person to explain why ordinary events feel unusually charged. A glance, coincidence, headline or passing remark may become loaded with personal meaning.
This is not a complete theory of psychosis, nor should it be paraded as one. Predictive-processing accounts differ over whether particular symptoms arise from weakened prior expectations, excessively rigid priors, altered prediction-error signalling, or different disturbances at different levels of processing. Hallucinations and delusions may not share one uniform mechanism merely because diagnostic manuals house them in neighbouring rooms.
Still, the idea illustrates the broader point. Salience does not merely determine which established facts receive attention. It participates in determining what feels fact-like, connected or worthy of explanation.
Once significance has been assigned, interpretation begins its work. Once interpreted, the event may be more readily remembered. Once remembered, it joins the accumulating case for the interpretation that helped produce it.
Not merely ‘in the head’
None of this means that dispositions are autonomous cognitive errors floating above the world, and I reiterate that I am not a medical professional. Hell, I’m barely a professional. Salience is affected by history. Someone who has repeatedly encountered danger may reasonably become more attentive to possible danger. Poverty, discrimination, violence, illness and insecurity do not merely supply ‘negative thoughts’; they alter the statistical environment in which attention and expectation develop. What appears clinically as excessive vigilance may have been learned under conditions in which vigilance was adaptive.
Nor is salience purely conceptual. Sleep, stress, hormones, medication, pain and physiological arousal may all affect what attracts attention and what is retained. Experimental research indicates that arousal and valence can make distinct contributions to emotional memory, another reason not to compress the process into the nursery vocabulary of ‘positive’ and ‘negative thinking’. The world acts upon the disposition, and the disposition acts upon the encountered world. Neither term stands outside the relation.
This also guards against the moral obscenity of telling distressed people that they have simply chosen the wrong interpretation. A recursive process may be self-maintaining without being voluntary. One doesn’t escape it merely by deciding to notice flowers, practise gratitude and purchase a notebook with an inspirational slogan embossed upon it. Sorry, pop psychology and psychological self help industry
From bias to rigidity
Everyone relies upon selective attention. Everyone remembers unevenly. Everyone encounters a world already organised by concern, expectation and affect. Complete neutrality would not be enlightenment; it would be cognitive paralysis.
The relevant distinction may therefore not be between biased and unbiased minds. It may be between systems that remain revisable and systems that become rigidly self-confirming.
A disposition becomes pathological, perhaps, not merely when it selects, but when selection becomes pervasive; not merely when it assigns valence, but when valence governs what can count as evidence; not merely when memory reconstructs, but when reconstruction repeatedly erases whatever might disturb the governing account.
Even then, ‘pathology’ isn’t a property of one mechanism. It may emerge from the interaction of degree, duration, distress, social conditions, bodily states, functional consequences and the available means of correction. The traffic anecdote isn’t a diagnosis. It’s an anecdote, a small model of how a world can be cognitively weighted.
The bloke didn’t invent the congestion. He encountered real traffic. But the congestion became representative, whilst the open road became incidental. Later, memory converted this inequality of weight into an equality of duration: traffic here and there became traffic everywhere.
Perhaps certain dispositions operate similarly. They do not simply add a judgement to experience after the fact. They influence which experiences become prominent, which are sustained by attention, which acquire positive or negative force, and which are later recruited into the story of what the world is like. The question is therefore not merely whether a person sees reality accurately. It is which parts of reality become visible enough to count.
A final word
My ex-wife used to complain how we never did anything – and like the Annie Hall story, I’d say we did too much – so every week or two she’d want to do something, and her refrain was always, ‘Let’s do it. We never do anything.’ One can imagine, that this was not a sustainable model – perhaps as evidenced by the ex prefix. And so not to and this as a therapy session, I’ll leave it here.
I have been developing my French, so I rely on several primary resources.
Myself
This includes grammar books, novels and the rest of the traditional fare, some of which I have listed below. Books remain useful, despite their regrettable inability to generate notifications, harvest engagement or insist that one more chapter will transform your life.
Audio: NotebookLM summary podcast of this topic.NotebookLM Infographic on this topic.
YouTube and Such
Social media is a time sink, and YouTube is no exception. This is not to argue that I derive no value from either. I do. It is merely to observe that the cost-benefit calculation may not always be in my favour.
That said, I encounter many useful tips, ideas and sources of general exposure to French. These help with learning, relearning and noticing gaps in what I thought I already knew.
There is, however, a risk. People teach and learn differently. Some teachers also believe they understand how they themselves learned and construct a method around that retrospective account. Memory being the immaculate scientific instrument that it is, this can create difficulties.
The first is obvious. A teacher may misattribute the cause of their own success and teach what is merely a covariant feature of the process. The method may have accompanied their learning without producing it. Remove the principal variable and the supposed method may accomplish very little.
A related problem arises when learners do not yet understand how they themselves learn. They may spend hours following a method that is suboptimal or even counterproductive. On the other hand, the method might happen to suit them perfectly. It can be difficult to know in advance.
A teacher may also be ideal for a learner at A1 or A2, but less appropriate at B1, B2 or beyond. By then, however, familiarity has become comfort, and comfort can masquerade as progress. This seems worth bearing in mind.
Even so, YouTube contains an enormous amount of material at nearly every level. The problem is not scarcity but selection.
Anki
Anki is excellent for repetitive learning tasks. It is essentially a flashcard system on steroids, although with fewer alarming side effects.
Many decks have already been constructed and made available online. I happen to use Anki for language learning, but it would be useful for almost any flashcard-oriented task, including academic study or memorising recipes, should that be your peculiar ambition.
This post is little more than a reference to Anki for context, but I recommend exploring it. There are also plenty of YouTube resources explaining how to use it for different purposes.
Anki supports text, images, audio and video, so it is genuinely multimedia rather than merely a digital imitation of index cards.
I have been using it to retain and expand my French vocabulary and grammar because I live somewhere French is not especially available. I would be better situated if I wanted to learn Spanish or Portuguese, and perhaps several other languages. For now, I shall pass.
Many of the cards I have imported come from decks with names such as “Top 1,000 Common Words”, “100 Conjugated Verbs” and “50 Useful Travel Phrases”. After enough examples involving “She has an apple”, “She gave him an apple” and “He would like her to give an apple to his father”, my mind wandered towards Snow White and poisoned apples.
In English, one may speak of a poison apple, treating poison as an attributive noun, or of a poisoned apple, in which poisoned describes what has happened to it. French does not ordinarily preserve the first construction unless one is deliberately inventing a literary compound. The natural French expression is:
Elle a mangé une pomme empoisonnée. She ate a poisoned apple.
I asked ChatGPT about this. I shall spare you the full forensic inquiry into the apple. What interested me more was its suggestion that I diversify the examples in my deck.
iTalki
I use iTalki for live conversation with native speakers. Although I am not formally endorsing the platform, I recommend investigating it and have found it useful.
I have interacted with only two teachers, but I enjoyed working with each of them for different reasons. Lessons are relatively inexpensive, although rates vary considerably between teachers. They are not as cheap as YouTube or Anki because they are not free, but, as an economist, I also take opportunity costs into account.
Spending hours on a free platform without acquiring any durable knowledge still entails a cost. Free is not synonymous with costless, despite what several business models would prefer us to believe.
I am not trying to sell anyone on iTalki or a similar service, but one can sample it fairly cheaply. A lesson might cost about the same as a cup or two of aggressively marketed coffee. Since I do not drink coffee, I already have the necessary budgetary fiction in place.
ChatGPT and Claude
I also use ChatGPT and Claude frequently. In this case, ChatGPT suggested several variations that retained the grammatical structure while making the sentences slightly less lifeless:
Elle a mangé une pomme empoisonnée. She ate a poisoned apple.
Elle a mangé une pomme pourrie. She ate a rotten apple.
Elle a mangé une pomme volée. She ate a stolen apple.
Elle a mangé une pomme interdite. She ate a forbidden apple.
Elle a mangé une pomme étrange. She ate a strange apple.
This is a minor use of a large language model, but a useful one. It can produce controlled variations, introduce vocabulary I have not encountered often and help prevent repetitive exercises from collapsing into grammatical wallpaper.
It can also explain why one construction sounds natural and another does not, generate examples at a particular level and create drills around a specific weakness. Naturally, its answers still require scrutiny. Confidently delivered nonsense remains nonsense, even when it arrives with immaculate formatting.
Taken together, these resources serve different functions. Books provide structure and depth. YouTube supplies exposure and ideas. Anki makes repetition tolerable. iTalki provides live interaction. Language models generate variations and explanations on demand.
None is sufficient by itself. Used together, however, they form a reasonably effective learning environment, provided one continues to distinguish activity from progress. The first is easy to measure. The second is what all the activity was supposedly for.
NB: I wrote this by hand and passed it through ChatGPT to clean it up. Let’s call it 95% human authored and call it a day.
Image: Gemini Nano Banana Pro’s first mis-render. This and the cover image are intentionally stereotypically satirical.
I don’t often respond to blog articles directly, but I read this and couldn’t seem to leave a comment locally, so here we are. Being a former educator, I think I can bring a certain perspective to the issue – or at least share my biases. Mainly, I have found that educational institutions earn their money by offering network access. This is why top-tier school can charge what they want. It also argues that other schools may now even be worth the price of admission. The student loan debate in the US may be Exhibit B.
I found this thoughtful and broadly persuasive, especially the treatment of education as a historically contingent field of selection rather than a neutral transmission of knowledge. I agree that institutions do not merely distribute information; they decide what counts as knowledge, competence, legitimacy, and intellectual seriousness.
My hesitation concerns the breadth of education as the organising term. Much of the critique seems directed more specifically at institutional schooling: curricula, examinations, credential hierarchies, universities, tuition, disciplinary structures, and labour-market preparation. Knowledge acquisition, inquiry, intellectual formation, credentialing, and institutional reproduction overlap, but I am not sure they should be treated as one object.
This distinction also sharpens the commodification argument. Elite institutions often charge not because they possess otherwise inaccessible knowledge, since much coursework is now available through books, lectures, open courses, and other online resources, but because they sell positional access: selected peers, faculty patronage, alumni networks, recruitment channels, prestige, and a credential recognised by other gatekeepers. In that sense, the scarce commodity is often less knowledge than institutional membership and social placement.
There are certainly exceptions involving laboratories, archives, specialist supervision, unpublished research, or unusually strong seminars. But these seem insufficient to explain most of the price premium attached to elite undergraduate education. The institution is often selling educational capital rather than education alone.
I also wonder whether the essay first dissolves education as a coherent ontology and then partially restores it through terms such as ‘genuine’ or ‘authentic education’, now defined as critical, emancipatory, interdisciplinary, and resistant to domination. I am sympathetic to that orientation, but it still seems to select one preferred practice from among several rather than recover the essence of education.
Perhaps the more diagnostic vocabulary would distinguish learning, schooling, credentialing, intellectual formation, network access, and institutional reproduction. This would preserve the force of the critique whilst making clearer which function is being criticised at each point.
Philosophics 