Behavioural response of eastern wolves (Canis lycaon) to disturbance at homesites and its effects on pup survival
Bibliographic record
Abstract
Human disturbance at wolf dens and rendezvous sites (homesites) may have direct effects on pup survival and could result in the alteration of homesite-use characteristics. During a demographic study of eastern wolves ( Canis lycaon ) in Algonquin Provincial Park, Ontario, we entered active homesites to tag pups with VHF radio transmitters. Homesite attendance and pup survival data collected in 2003–2005 were used to determine (i) the immediate response of wolves to disturbance at homesites, (ii) whether distance moved between homesites was influenced by disturbance, (iii) if pup survival was compromised by researcher disturbance, and (iv) whether reuse in subsequent years differed between disturbed and undisturbed den sites. Packs tended to relocate pups after a disturbance, though we did not detect a difference in distances travelled between natural homesite shifts and those following disturbance. Disturbed homesites were reused in following years at a similar frequency as undisturbed homesites (6 of 15 vs. 8 of 22 homesites, respectively). Although postcapture mortality risk was slightly elevated for pups, we could not detect long-term effects of disturbance. This resilience to disturbance, and our documentation of effective techniques for radio-tagging young pups, demonstrate that research on wolf pup demography can be performed effectively without causing unacceptable negative impacts on wolf behaviour or mortality.
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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 | 0.000 |
| 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".