Bibliographic record
Abstract
Using a new dataset which combines the 1982-1997 tax records and administrative records of British Columbia bachelors graduates from the classes of 1974-96, the real market income of graduates is examined, focussing on changes in income between graduating cohorts, as well as differences across major fields of study. For men and women BC graduates, there has been a decline in real annual income received after graduation for more recent cohorts which is eventually offset by a higher growth rate in income. Also, annual incomes after graduation are relatively high for graduates with applied degrees such as in the engineering, education, and health fields, however, incomes converge as graduate cohorts age. The former finding is at odds with those of Beaudry and Green (1997) who found that weekly earnings declined across cohorts for male university graduates, with no offsetting rise in the growth rate (their results were more similar for women). Differences may be due to this paper's use of annual income as an outcome measure, or its focus on BC student's outcomes rather than national outcomes.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".