A Semantic Approach of the Operational Strategies of Institutional And Sectorial Management
Bibliographic record
Abstract
Based on the experiences of sectoral management experienced currentely in Québec, this article describes the evolution and redefinition of the role of structures and how this evolution favors the emergence of new ways of public action. The analysis highlights a diversification of uses as well as the implementation of new modes of public administration. In addition to more decentralized management, the involvement of the RCMs allows the implementation of management projects. The analysis suggests that reconciling the demands of forest management with the socio-economic reality of the regions is not always easy and that there are still many obstacles to the establishment and maintenance of innovative forest management practices. These obstacles include the cumbersome nature of the normative framework, the lack of support given to the RCMs by the government, the lack of human and material resources and the low level of interest demonstrated by the populations.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.005 | 0.035 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".