n.V1-3.08| CAN CLIMBING BE TAUGHT?

01| If the gate is the problem, one answer is to teach people to get through it. The proposition is that the people who climb out of poverty use a specific and learnable set of capabilities — cross-class networks, institutional navigation, deliberate job-changing, workplace behavioural norms, long-horizon planning — and that none of these requires a degree. It is an attractive proposition. It is also mostly untested, and it is worth being precise about which parts have evidence behind them.

02| The strongest support comes from the STARs research, which identifies more than seventy million American workers Skilled Through Alternative Routes — people with demonstrable skills and no bachelor's degree. The framing puts the barrier on the employer's side rather than the worker's: the paper ceiling, described as "the invisible barrier that comes at every turn for workers without a bachelor's degree." Byron Auguste makes the point as one about visibility rather than existence:

"I guarantee you that if you think you don't know a STAR, that you're not working with STARs, that you don't have peers, that you don't have people you report to who are STARs, you're probably wrong."— Byron Auguste, Opportunity@Work

03| And the ceiling has been getting lower rather than higher. By Opportunity@Work's count, some 7.5 million jobs once open to STARs became inaccessible between 2000 and 2020 as employers added degree requirements — a screen tightening against a population whose actual capability did not change.

04| That research supports one claim firmly: skills exist outside credentials and are being screened out. It does not support the larger claim built on top of it — that these capabilities can be taught at scale through a designed programme. Nobody has run that programme. The evidence for teachability is inferential: people who have these capabilities mostly did not go to college, therefore college is not required, therefore they can be taught. The middle step does not deliver the third. "Not acquired through a degree" and "transmissible by instruction" are different properties, and the second is the one every training proposal is quietly assuming.

05| There is also a hard finding pointing the other way, and it is the one from three chapters back. If scarcity itself degrades the capacity to plan and to learn, then a training programme delivered into conditions of scarcity is working against its own mechanism. That does not make it futile. It makes the sequencing decisive — relief before instruction, or instruction that survives interruption — and any capability proposal that does not address this has not met the strongest objection available to it.

06| A second argument gets used to raise the stakes: that automation will increase the value of exactly the social and adaptive skills that climbers rely on. The underlying source is McKinsey Global Institute's 2018 Skill Shift, and the numbers usually quoted are wrong. MGI projected demand for basic cognitive skills falling fifteen percent by 2030, from eighteen to fourteen percent of hours worked, and demand for social and emotional skills rising twenty-four percent, to twenty-two percent of hours. Versions citing a fourteen percent fall and an eleven to fourteen percent rise have confused the level with the change.

07| Three limits on what it supports even when quoted correctly. The projections cover the United States and Western Europe, not the countries where most of the world's poor live. They were made before generative AI, and MGI's own later work revises the picture. And rising demand for a skill category is not rising wages for people who hold that skill without a credential — the paper ceiling finding is precisely the demonstration that demand and hiring can move independently.

08| Then there are the frameworks. One proposal lists thirteen forms of capital — psychological, social, financial, human, cultural, health, institutional, spatial, time, cognitive bandwidth, intellectual confidence, stigma resistance, safety — and argues that people in poverty score low on all of them while interventions address one or two. Several of these have real research behind them under other names: cognitive bandwidth is the scarcity finding, spatial capital is the geography-of-opportunity literature, cultural capital is Bourdieu, social capital in its weak-ties form has a large and contested literature of its own.

09| But the list as a set is a construct, not an established framework, and it has no measurement instrument attached. Nobody has scored a population on all thirteen. Without that, everything that follows from it — that the capitals multiply rather than add, that the compounding rate explains the class gap, that transitions take two to five years and then five to ten — is structure imposed on the problem rather than drawn from it. The multiplication claim does the heaviest lifting and carries no number at all.

10| There is a further problem, and it is political rather than methodological. A framework assembled entirely from capacities held by individuals locates the fix in the individual, even when every single item is described as environmentally produced. It has no term for the other party — the employer setting the degree requirement, the lender pricing the loan, the landlord, the state. The World Bank puts the missing half in from the opposite direction:

"High inequality can reflect a lack of opportunities for socioeconomic mobility, which can further hinder prospects for inclusive growth and poverty reduction over time."— World Bank, Poverty and Shared Prosperity

11| That sentence makes inequality a cause of immobility rather than a description of it. A thirteen-capital ledger has nowhere to put it, and that absence is not an oversight in the accounting. It is the whole argument about where the problem lives.