Time to Graduate Level Employment for New Graduates in the United Kingdom
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT This paper estimates the time to graduate employment of new graduates from universities in the United Kingdom. Using data from the UK Graduate Outcomes Survey, survival functions are estimated to identify differences in time to graduate employment among different groups of graduates, stratified by institution. Differences in survival functions are confirmed across the different categories of university in the United Kingdom, with Russell Group universities holding a greater probability of employment at each time interval. A Cox Proportional Hazard model is estimated to identify the determinants of the differences in the time to graduate employment, with constant effects associated with secondary school performance, parental degree status, private school status and ethnicity. The remaining effects were shown to be time varying, including institution, degree classification and degree subject, with Russell Group graduates, graduates with high degree classifications and graduates of STEM displaying a persistent advantage in the early career labour market.
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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 | 0.000 |
| 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 it