Big expectations for small forest tenures in British Columbia
Bibliographic record
Abstract
Small tenures diversify British Columbia?s forest tenure system and create new opportunities for local involvement in forest management. Held by local people and organizations, small tenures generate expectations that forest management will reflect a broad range of community values for forest use. Woodlot Licences and Community Forest Agreements (CFAs) are small, area-based, long-term licences that grant exclusive rights to manage and harvest timber on public land. Community Forest Agreements also include limited rights to botanical non-timber forest products. All tenures, whether large or small, carry rules established by the provincial forestry legislative and regulatory framework. Award and renewal of cfas is conditional upon demonstrating community support and receiving a satisfactory performance evaluation by the British Columbia Ministry of Forests and Range. Small tenures are growing in popularity, but account for only a tiny fraction of the provincial forest land base and allowable annual cut. Despite their size, there are big expectations that woodlots and community forests will introduce new ways of managing forests in British Columbia.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".