Monitoring habitat condition changes during winter and pre-calving migration for Bathurst Caribou in northern Canada
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
Many factors influence the abundance of migratory tundra caribou (Rangifer tarandus). To understand their interactions with caribou abundance, we need to quantify these factors. In this study, we documented the changes in habitat conditions during winter and pre-calving migration for the Bathurst Caribou herd, using remote sensing data and ground measurements. We found there was a significant decrease in forest area which has abundant lichen, the main caribou winter diet, during recent decades due to increase in burned area, which in turn was positively correlated with summer temperature. For winter forage accessibility, we examined the annual maximum snow depth and mean ice content in snow (ICIS). There was a significant increase in ICIS during 1963–2006, but no trend in the maximum snow depth. During the pre-calving migration, the percent snow cover showed large inter-annual variations but no significant trend.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it