Forest management in a changing climate: building the environmental information base for southwest Yukon
Bibliographic record
Abstract
This paper provides an overview of a project that synthesized available information on climate change for the southwest Yukon. This was done as a first step in a longer-term process of evaluating climate impacts, assessing risks to ecosystem and community values, and developing scenarios for adaptation. The overall intent of the work was to support informed forest management decision-making for the Champagne-Aishihik Traditional Territory (CATT) in the light of climate change. The objectives of this stage of the project were to: compile and improve access to existing baseline information needed to support informed management decisions in the face of climate change; to make this information available using several communication tools for various target audiences; and to create an opportunity for scientists, government; and local residents to share observations and concerns on climate change as related to the management of forest resources within the study region. Key words: climate change, impacts, adaptation, sustainable forest management, southwest Yukon, Dendroctonus rufipennis, spruce bark beetle, Yukon Territory, champagne and Aishihik Traditional Territory
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".