*** * Forthcoming in MESA book **** The Backgrounds of Canadian Youth and Access to Post-secondary Education: New Evidence from the Youth in Transition Survey
Bibliographic record
Abstract
This paper exploits the unprecedented rich information available in the Youth in Transition Survey, Sample A (YITS-A) to investigate issues related to access to post-secondary education (PSE). The release of these data make it possible since the cohort was age 19 at the time of the third wave of survey in 2004, and therefore at the point of making decisions with respect to participation in PSE. We find that parental income is positively related to university attendance, although its importance is diminished once parental education is included in the estimation. Similarly, the importance of parental education on university attendance is diminished once high school grades, academic participation, and standardized reading test scores (i.e., PISA results) are included. We argue that these background variables an important inclusion into the model of PSE choice. How these characteristics are developed and the mechanism(s) by which they are transferred from parent to child is likely where future research, and resources, should be targeted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".