Does Geography Matter? A Regional Analysis of Early Transfer within Ontario Post‐Secondary Education*
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 The relationship between geography and early transfer behavior has received limited empirical attention. In this study, we track six cohorts of university and community college entrants to examine differences in the early pathways they travel through Ontario post‐secondary education (PSE), paying particular attention to how transfer pathway uptake by students in the province's rural north might vary from those in the more urbanized southern regions. Overall, we observe only modest regional differences in early transfer pathway uptake, with parental income proving to be a more constituent predictor of transfer. However, we do find more sizable net regional differences in the propensity that students will drop out within two years of entering PSE, with northern students being significantly more at risk of leaving PSE in their early years.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it