Reconstructing the Summer Diet of Wolves in a Complex Multi-Ungulate System in Northern Manitoba, 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
Understanding wolf (Canis lupus) food habits provides critical information for boreal woodland caribou (Rangifer tarandus caribou; forest-dwelling ecotype) recovery strategies. By incorporating the stable isotope ratios of different caribou ecotypes into a stable isotope mixing model, I determined the relative importance of boreal woodland caribou in the summer diet of wolves in northern Manitoba, Canada. Boreal woodland caribou were primary summer prey for wolves collected in winter in registered trapline (RTL) districts where these caribou are considered rare, suggesting migratory behaviour in some wolves. Moose were primary prey in other RTL districts, followed by boreal woodland caribou, with beaver providing important contributions. Recovery strategies for woodland caribou should investigate annual wolf, caribou, and moose movement in the region to complement these findings and gain a better insight into this complex ecosystem.
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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 | 0.001 | 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