25. Blind Curves or Open Roads? Student Leaders Speak on the Future of Canadian Post-Secondary Education
Bibliographic record
Abstract
In working to build a better, more just future, post-secondary institutions play a crucial role in shaping the students of today and tomorrow. Many institutions already employ a number of innovative programs aimed at broadening students’ horizons. We can now look forward to seeing these initiatives grow. As students, we outline our views on some of the challenges and possible avenues for change in post-secondary education. Efforts to strengthen student leadership, optimize experiential learning, and develop a more holistic educational approach are important. Current challenges to post-secondary education lie within aspects of accessibility, funding, relationship disconnect, and segregated educational approaches. Strengths and challenges encountered within post-secondary education can frame learning boundaries to be deconstructive or constructive. Both boundary modalities can play important roles in designing the future of post-secondary education in Canada.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.043 | 0.019 |
| Scholarly communication | 0.016 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".