Incremental steps towards a competency-based post-secondary education system in Ontario
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
<p>As one of Canada’s 13 distinct jurisdictions, Ontario is a national leader in developing a competency-based postsecondary education system. Hindered by challenges of a disaggregated system of policy actors in system design, quality assurance and credit transfer, sweeping change has not occurred. Instead, various bodies with operational powers over university, college, or private-provider quality assurance have slowly incorporated concepts of competency-based education into frameworks by introducing learning outcomes. This paper outlines the challenges facing Canadian and Ontario postsecondary education, discusses the roles and responsibilities of agencies involved in quality assurance, and actions made towards developing and implementing learning outcomes at the system level. The research highlights the ad-hoc and unaligned activities, but also demonstrates the commitment to move towards a competency-based education system.</p>
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.
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 | 0.003 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it