The Hidden Gate: Who Gets to Cross the Gap?

This chapter examines why a plausible skill transition can remain inaccessible or unrewarded even after a worker identifies the right target profile and completes relevant learning. The focus is the gap between capability and opportunity: who gets training, guidance, assessment and employer recognition, and how background or occupational sorting changes the answer. The practical judgment is to distinguish a capability gap from an access or recognition gap before assigning responsibility to the worker.

The gap is not always in the worker

A transition system usually makes the individual visible and the conditions around them invisible. A candidate's profile can be compared with an occupation's requirements, but the comparison may not show who had access to good schooling, who received employer-funded learning, whose work was treated as credible experience, or whose credentials are trusted. If those conditions differ, two people with similar demonstrated capabilities can face different routes into the same occupation.

The OECD Skills Outlook shows why this is not a peripheral concern. Socio-economic background is strongly associated with information-processing skills and with the educational paths through which people acquire and signal them. Adults with tertiary-educated parents have higher average literacy, numeracy and adaptive problem solving than adults without tertiary-educated parents. Education and occupation then influence access to later training. A worker may begin with a different profile not because of a personal choice made in isolation, but because opportunities to build that profile were distributed unevenly over time.

Gender illustrates a different mechanism. The OECD finds that men have higher employment rates than women by about 7.9 percentage points in a basic model and about 7.6 points in a more fully adjusted model. Among employed adults, men earn around 14% more per hour in the basic comparison and around 13% after occupation, industry and job characteristics are included. The precise estimates vary by model and country, but the central implication is stable: similar qualifications and skills do not eliminate every barrier. Occupational segregation, care responsibilities, employer practices and unequal access to advancement can affect how capability is deployed and rewarded.

This is the point at which a skill vector can be used either responsibly or irresponsibly. Used responsibly, it makes a target occupation's requirements more explicit and gives a worker a better language for demonstrating relevant experience. Used irresponsibly, it turns the vector into a test of merit and treats a shortfall in employment as proof that the person failed to develop enough skill. The same data can support either story unless the opportunity structure is kept in the model.

The OECD's analysis of occupations provides a useful limit on stereotyping. Occupation accounts for about 26–29% of variation in literacy, numeracy and adaptive problem solving, rising to 33–35% after socio-demographic characteristics are taken into account. It accounts for much less variation in delayed gratification and social and emotional skills: about 3–8% before controls and 5–9% after them. A job can organise tasks around particular information-processing requirements while still accommodating people with different behavioural tendencies. Therefore, a target profile should not be translated into “people like this belong in this job.” It should be translated into “these tasks require this kind of evidence, and different people may demonstrate it in different ways.”