Student pathways and differentiation policies in Ontario: are they compatible?
Bibliographic record
Abstract
Over the last 15 years, the government of Ontario, Canada began seeking ways to deliver and expand higher education in a more cost effective and sustainable manner through the introduction of two major policy goals: greater institutional differentiation and the expansion of student pathways. This paper will attempt to determine the compatibility of these two policy goals through a review of the relevant literature to determine if the policies are aligned from an efficiency and effectiveness, and public policy perspective. It will also identify a number of policy levers used in Ontario that may affect the extent of diversity and student pathways through document analysis, to assess their compatibility by making a limited use of the field of organisational theory as a lens to place the policies into context. It will also examine the extent to which various institutional types in Ontario have been engaged in student mobility and will compare and contrast the various strategies used to satisfy these public policy goals through textual analysis to highlight current successful institutional strategies that can be used by other jurisdictions. It will conclude with some key observations that the authors feel are necessary for either policy goal to succeed.
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 | 0.000 |
| 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) | 0.001 | 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".