Climate variability and change (CVC) effects on char in the Arctic
Bibliographic record
Abstract
The research project is comprised of two components: 1) investigation of char biodiversity using genetic approaches, and char life history and thermal ecology using otolith microchemistry and stable isotope techniques at several areas throughout the Canadian Arctic (western Northwest Territories, Nunavut, Nunavik, Nunatsiavut), thereby providing the biological context in which to place climate variability and change effects on this key resource; climate effects on mercury bioaccumulation in chars are also investigated in parallel with these studies, and 2) development of community-based monitoring programs in Sachs Harbour, Kuujjuaaq, and Nain to assess and monitor local char biodiversity, this links understanding gained from the research component directly with biodiversity observable locally by northerners. This component will be suitable for general dissemination to other northern communities as a model for developing similar local programs. A third component develops a network of char researchers and northerners to address common issues of char-climate interactions, foster information exchange, and link to other key national and international networks. Research outputs, monitoring programs, and networks will serve as lasting legacies of this IPY project.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.012 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".