Our Needs Will Not Diminish: Perspectives of Ontario Non-profit Organizations on Experiential Learning Partnerships with Post-secondary Institutions
Bibliographic record
Abstract
This study investigates the perspectives of staff within non-profit organizations that host post-secondary students in experiential learning (EL) placements. Post-secondary institutions within Ontario and across North America have experienced increasing pressure to ensure that students have opportunities to learn by doing through experiential learning placements. Community-based non-profit organizations host many of these placements. Interviews with ten Canadian non-profit staff members who supervise placement students revealed both tensions and possibilities inherent in campus-community EL partnerships. The findings make clear that non-profit organizations vary in their needs and available resources and these affect their interactions with post-secondary institutions. The study has important implications, for those at the provincial and administrative levels as they develop expectations and policies around campus-community engagements, and for the staff and faculty within universities and colleges who send students to non-profit organizations.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".