Local ecological knowledge of Ivory Gull declines in Arctic Canada. Arctic
Bibliographic record
Abstract
ABSTRACT. We gathered local ecological knowledge (LEK) on the ivory gull (Pagophila eburnea) from residents of three High Arctic communities in eastern Canada. This gull has always been uncommon, but Inuit had suggested that numbers of gulls were declining. LEK from Grise Fiord and Resolute Bay was clear and consistent, indicating that far fewer gulls are currently observed near the community compared to 25 years ago. The LEK from Arctic Bay was less consistent, although in general, community members thought that the species was less commonly observed. Observations from nonsystematic surveys by local wildlife officers corroborated the LEK data, and an aerial survey of the known colony locations on the Brodeur Peninsula (near Arctic Bay) found only one gull. Collectively, this information suggests that ivory gull populations are declining across the species ’ Canadian range. Systematic surveys will be needed to confirm these perceived declines. Key words: ivory gull, Pagophila eburnea, local knowledge, population decline, interviews RÉSUMÉ. On a recueilli du savoir écologique local (SEL) sur la mouette blanche (Pagophila eburnea) auprès de résidents de trois communautés de l’Extrême-Arctique situées dans l’est du Canada. Cette mouette a toujours été assez rare, mais, selon les Inuits, le nombre d’individus était en déclin. Le SEL de Grise Fiord et de Resolute Bay était clair et cohérent, révélant qu’actuellement, le nombre de mouettes observé près des communautés est bien plus faible qu’il y a 25 ans. Le SEL d’Arctic Bay était moins unanime, même si les membres de la communauté pensaient en général que l’espèce était aperçue moins fréquemment. Des observations tirées d’enquêtes non systématiques menées par les agents locaux de la faune corroboraient les données du SEL, et
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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 | 0.000 | 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) | 0.000 | 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".