The Government–Third Sector Interface in Québec
Bibliographic record
Abstract
Abstract In this paper, the authors analyze different forms of interface between the government and third sector organizations in Québec. In order to do so, they studied relationships in eight different fields of activity: homeless youth services, housing for intellectually deficient people, support organizations for natural caregivers, community leisure centers, community housing for the elderly, daycare centers, social economy organizations for domestic assistance, and services specializing in employment for handicapped people. Following a review of international literature on the relationship between the government and the third sector, the paper analyzes these relationships on the basis of the typology developed by Jennifer M. Coston, which is adapted to the Québécois context. In the eight activity sectors studied, the authors found the presence of four different types of interface between the government and the third sector: “subcontracting,” “coexistence,” “supplementarity,” and “co-construction” relationships.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".