Bibliographic record
Abstract
This thesis investigates the population, group composition, and home rangesizes of 5 groups of Roosevelt elk (Cervus elaphus roosev -It) in 4 regions of Strathcona Provincial Park on Vancouver Island, British Columbia. Ten elk were successfully radio-collared and re-located for 12-21 months, beginning in March 1991, and ending in January 1993. Eight of the 10 study animals were non-migratory. Sizes of cumulative and seasonal ranges, and core use areas were determined for each study animal using the harmonic mean estimator of Program Home Range. Three seasonal models (summer, mild winter, and severe winter) of habitat suitability were tested using a non-migratory elk group. A Geographic Information System (GIS) was used to create a digital map of the study area. The models were applied to the map to generate habitat suitability values for each of the polygons comprising the study area. This study provides additional support for a correlation between habitat suitability as predicted by the model and elk habitat selection. Elk were not randomly selecting habitats in the study area with respect to modeled habitat suitability values. Habitat suitability of elk cumulative range was higher than portions of the study area unused by elk. Core use areas had higher habitat suitability than cumulative range. No one model best predicted the habitat suitability of the home range selected by the non-migratory study animals. Use of the model as a predictor of suitable elk habitat in areas currently unused by elk is validated, but not warranted given the time and money required to collect the information necessary to use the model.
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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 | 0.000 |
| 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) | 0.001 | 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".