Participatory requirements in forest management planning in Eastern Canada: A temporal and interprovincial perspective
Bibliographic record
Abstract
With the introduction of the concept of sustainable forest management, the practice of public participation has become omnipresent. This study focuses on provincial participatory requirements in forest management planning (FMP). A comparative framework composed of four participatory process attributes (power, moment of participation, learning/interaction, and procedure) was used to obtain a temporal and interprovincial perspective of Quebec's new participatory process. Our results indicate that with respect to past processes Quebec's current approach allows certain stakeholders, but not the general public, to have more access to FMP. Comparatively, Ontario and Newfoundland have implemented different, clearly stated, approaches that involve the general public at numerous stages of FMP. Future research should concentrate on how these participatory requirements are implemented and on the public satisfaction with regard to this implementation. Key words: public participation, forest management planning, descriptive framework, Canada, Quebec, sustainable forest management
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".