Ontario's Species at Risk Protection: Implications for the Integration of the Endangered Species Act and the Crown Forest Sustainability Act
Bibliographic record
Abstract
This study sought to provide recommendations regarding how the ESA-CFSA Integration Project could be implemented to best protect species at risk without threatening the forest industry in Ontario. Taking a case study approach, the two main objectives of the study were to evaluate the implementation to date of the ESA in Ontario and assess the work accomplished by the MNRF with respect to the Integration Project. This was done through a review of the scientific literature and online documents, personal communication with stakeholder representatives, and direct observation. Overall, it was found that while there is significant disagreement between ENGOs and forest industry about the best way to protect species at risk in Crown forests, they both agree that the implementation of the ESA has not been completely successful, and these shared concerns can be used to create meaningful and effective progress on the ESA-CFSA Integration Project. Four recommendations are presented based on the findings: providing a roundtable discussion for all stakeholders, conducting further scientific research on AOC prescriptions and forest management plans, surveying forest managers to determine species at risk protection measures in place under forest management plans, and considering the possibility of requiring forest management plans to also be approved by the Species Conservation policy branch of the MNRF in order to ensure compliance with ESA protection.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".