Climate variability and change (CVC) effects on char in the Arctic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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 it