Twenty-Four-Hour Activity Budgets of Mule Deer, <em>Odocoileus hemionus</em>, in the Aspen Parkland of Eastcentral Alberta
Bibliographic record
Abstract
We documented seven 24-h activity budgets of two adult Mule Deer (Odocoileus hemionus) does without fawns in the Aspen Parkland of Alberta when the vegetation was green (June, July), maturing (September) and cured (October). They spent about 40% (mean = 42.3%) of each day foraging, somewhat more when vegetation was green (40-47%) and maturing (45%), and less time in October, when the vegetation was cured (38-39%). The percentage of time Mule Deer were bedded each day generally equaled or slightly exceeded (33-53%) that of foraging. Walking was a prevalent activity (3-24%), especially in autumn and little time was invested in other activities such as social interactions and grooming (1-4%). There were generally more feeding bouts (10-16/day) than bedding bouts (4-10/day) per day, and feeding bouts were shorter (37-68 minutes) than bedding bouts (69-133 minutes). Mule Deer displayed polycyclic feeding cycles with slight increases in feeding activity near dawn and dusk.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".