Access and Barriers to Postsecondary Education: Evidence from the Youth in Transition Survey
Bibliographic record
Abstract
We exploit the Youth in Transition Survey, Cohort A, to investigate access and barriers to postsecondary education (PSE). We first look at how access to PSE by age 21 is related to family characteristics, including family income and parental education. We find that the effects of the latter significantly dominate those of the former. Among the 25% of all youths who do not access PSE, 23% of this group state that they had no PSE aspirations and 43% report no barriers. Only 22% of the 25% who do not access PSE (or 5.5% of all youths in our sample) claim that “finances” constitute a barrier. Further analysis suggests that affordability per se is an issue in only a minority of those cases where finances are cited, suggesting that the real problem for the majority of those reporting financial barriers may be that they do not perceive PSE to be of sufficient value to be worth pursuing: “it costs too much” may mean “it is not worth it” rather than “I cannot afford to go.” Our general conclusion is that cultural factors are the principal determinants of PSE participation. Policy implications are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".