Seasonal movements of satellite-collared caribou from the Bathurst herd Final Report to the West Kitikmeot Slave Study Society Submitted By Anne Gunn
Bibliographic record
Abstract
this report. 56 We recorded a similar pattern in winter movement rates as reported by Thomas et al. (1994) for the Beverly herd based on mapping distribution. Movement rates slowed as snow depth increased by mid-December but unlike Thomas et al. (1994), we did not have snow measurements from the winter range. We could only characterize the winters relative to long-term average maximum snow depths based on DIAND surveys for snow-water equivalence. The Talston River basin (south east of Great Slave Lake) tends to have more snow than the Snare or Yellowknife Basin but this pattern was reversed for late winter 1993, 1995, 1999 and 2000. The relationship between fall-rut distribution which is a time of high rates of weekly movements and subsequent winter distribution is unclear as is the influence of the timing of freeze-up and snowfall. We did record, however, that the 1997 shift to the winter distribution to south of Great Slave Lake coincided with a warm fall in 1997 with relatively little snow and a later freeze-up. The analysis for the duration and rate of movement during spring migration to the calving grounds suggests two general patterns in trends of movement rates as a function of distance from calving ground. In 1996 and 1997 rates are initially faster then decrease then increase as distance from calving ground approaches. However, the low sample size limits the analysis. This problem may have partially precluded the fitting of autoregressive models to the data, and may have obscured finer scale trends in movement rates. Therefore, trends should be interpreted both in terms of biological as well as statistical significance. One potential method to confront the problem of low sample sizes would be to use individuals as the sample unit rather than the herd. However,...
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".