DEVELOPMENT OF AN ECOLOGICAL, RISK‐BASED DECISION FRAMEWORK FOR RELEASING AND MANAGING WILD TURKEYS IN ONTARIO
Bibliographic record
Abstract
Abstract: Ontario initiated wild turkey ( Meleagris gallopavo silvestris ) restoration efforts in 1984 and within 20 years had restored or established populations across much of southeastern and southwestern portions of the province. Within these areas, it is believed that expansion of agricultural and changing land use has extended suitable range into landscapes well beyond known historic range. There was interest in establishing wild turkey into other areas; however, expansion of turkey populations was not viewed by all groups as either desirable or appropriate. Through knowledge gained from assessment of habitat suitability, overlaying habitat information on historic distribution, factoring in land‐use change, and by considering prevailing weather patterns, we developed a terrestrial ecozone framework to define the spatial extent for turkey range expansion. At present, we consider the Mixedwood Plain Ecozone to represent a biologically suitable and ecologically appropriate framework for wild turkey expansion in Ontario. Using the Mixedwood Plain Ecozone boundary, a simple risk‐based decision tree was developed to deal with ecological, social, and economic risks of releasing turkeys at new locations in Ontario.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".