Close encounters of the burned kind: Spatiotemporal effects of fire on habitat selection strategies of woodland caribou (Rangifer tarandus caribou) during winter
Bibliographic record
Abstract
Forest fire is the primary natural disturbance process influencing the distribution and abundance of terrestrial lichens across ranges of woodland caribou (Rangifer tarandus caribou), including the Klaza Caribou Herd in west-central Yukon. I used stand and understory data to understand variation in the abundance of lichens in burns of various ages. Focusing on the distribution of individual caribou, I used a dataset of GPS collar locations to examine resource selection on the winter range and within burns. Results suggested that burns provided suboptimal habitat for the KCH until 50 years post-fire; however, analyses focused on the use of burned habitat indicated that they regularly encountered burns and opportunistically used remnant lichen within the burn perimeter. The relationship between caribou and burned landscapes is complex and non-linear indicating that wildlife managers should look beyond burn age to account for the effects of fire on the availability and quality of caribou habitat.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".