Table S1;Table S2 from Long-term satellite tracking reveals patterns of long-distance dispersal in juvenile and adult Arctic foxes (<i>Vulpes lagopus</i>)
Bibliographic record
Abstract
Results of the statistical analyses testing the effect of sex on movement metrics during the transience stage of adult Arctic foxes undertaking breeding long-distance dispersal from Bylot Island (Nunavut, Canada). Superscripts indicate use of a permutation test because of non-normality of the data (1), or sample size reduced to n = 26 for All LDD (2).;ID, life stage, sex, and movement status of 170 individuals (148 adults and 22 juveniles) tracked to analyse long-distance dispersal of Arctic foxes from Bylot Island (Nunavut, Canada) between 2007 and 2021. Resident: territory holder; Transient: not a resident (removed from analyses); SDD: short-distance disperser (individual settled < 80 km from initial range); LDD: long-distance disperser (individual moved ≥ 80 km away from its territory with no permanent return); Interrupted LDD: individual may have started to disperse but nature of the movement unconfirmed because of collar failure or fox death (see Note); Removed from analyses: individual removed from analyses as tracking was too short due to premature collar failure or fox death (see Note).;Dynamic display of the transience phase of long-distance dispersal performed by 27 adult and 10 juvenile Arctic foxes equipped with Argos Platform Terminal Transmitters on Bylot Island (Nunavut, Canada) from 2007-2021. Each path line starting from Bylot Island represents one individual.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.410 | 0.075 |
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".