The effect of fields of study on the waiting time to employment: evidence from the National Graduate Survey of Canada 2005 and 2009/10 cohorts
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
By utilising the National Graduate Survey (NGS) – class of 2005 and 2009/10 – this paper examines the effects of fields of study on the time it takes to find full-time employment that lasts at least six months among graduates of Canadian Universities. Within cohorts, the results suggest considerable differences in the duration to first job after graduation for various fields of study – with ‘Agriculture, natural resources and conservation’, ‘Health and related fields’, and STEM fields like Math, Computer Science, and Engineering landing jobs the quickest, respectively. In contrast, the graduates of ‘Humanities’ and ‘Education’ had the longest duration of finding employment. The results also show large differences between cohorts, with the 2009/10 cohort taking much longer to find employment. Lastly, this paper did not find clear evidence that the effects of fields of study on the duration to exiting unemployment changed across the cohorts.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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