Ontario’s Universities: An Act of Public Imagination -Transforming Ontario’s Public Universities Through Foresight and Social Innovation
Bibliographic record
Abstract
Ontario’s postsecondary education system resembles a 'house of cards'; fragile, strained, and nearing collapse under the weight of structural inequities, financial precarity, and eroding public trust. This Major Research Project asks not how to preserve a failing system, but how to cultivate new architectures of resilience, imagination, and civic stewardship. Using a multi-method approach that includes systems mapping, timeline analysis, semi-structured interviews, participatory foresight workshops, and wind tunnelling, the research traces the forces that have shaped Ontario’s higher education landscape. Four divergent future scenarios are developed to surface critical uncertainties and strategic tensions, alongside seven strategic intervention pathways designed to foster relational governance, regenerative learning ecosystems, and distributed leadership. A roadmap for phased institutional transformation is proposed, emphasizing adaptive, participatory, and place-based approaches. The findings show that transformation will not emerge through incremental reform but through courageous acts of imagination, relational trust, and collective stewardship. Futures are not inherited. They are cultivated, through choices made today, and through the relationships we dare to build and sustain.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".