DENNING ECOLOGY OF BARREN-GROUND GRIZZLY BEARS IN THE CENTRAL ARCTIC
Bibliographic record
Abstract
Between May 1995 and June 1999, we studied denning ecology of 81 barren-ground grizzly bears (Ursus arctos) equipped with satellite radio-collars within a study area of 235,000 km2, centered 400 km northeast of Yellowknife, Northwest Territories, Canada. All dens were located on well-drained slopes (X̄ = 25.3°, SE = 1.20, n = 55). Choice of den aspect was nonrandom (χ2 = 12.4, d.f. = 3, P < 0.01, n = 56); the majority of dens faced south (25), followed by west (13), east (10), and north (8). Most dens were constructed under cover of tall (>0.5 m) shrubs (Betula glandulosa and Salix), the root structures of which supported ceilings of dens. Selection of denning habitat by bears was significantly different from random (G = 127.67, d.f. = 6, P < 0.0001). Bonferroni confidence intervals indicated that esker habitat was selected more than expected by chance (P < 0.10). Den entrance occurred primarily in last 2 weeks of October. The majority of bears emerged from dens in the 1st week of May.
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How this classification was reachedexpand
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 | 0.001 | 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) | 0.002 | 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 teacher head, 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".