Spatial factors influencing northern mountain caribou (Rangifer tarandus) survival and distribution in the Telkwa Range
Bibliographic record
Abstract
Human-induced habitat alteration has led to the decline of woodland caribou (Rangifer tarandus caribou) populations across Canada. The many challenges in conserving caribou are exemplified by a herd of northern mountain caribou in the Telkwa Range of central British Columbia. Despite population augmentation in the 1990s, this herd has declined to 18 individuals, yet mechanisms driving this decline are largely unknown. I used location data from caribou collared between 1991–2015 to investigate the influence of human disturbances – including forestry, roads, and recreation – on survival (N = 224) and habitat selection (N = 76). Results suggested that the decline of this herd was largely driven by a shift in predator prey dynamics following forest harvest. Further exacerbating the decline were the cumulative effects of disturbance in the Telkwa Range. Roads, recreation, and forestry influenced the distribution of the Telkwa caribou herd, ultimately affecting habitat availability and the ability of caribou to successfully manage predation risk.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".