Breeding Habitats and New Breeding Locations for Ross’s Gull (Rhodostethia rosea) in the Canadian High Arctic
Bibliographic record
Abstract
ABSTRACT. Published accounts list only four breeding sites for Ross’s gull (Rhodostethia rosea) in North America, but the discovery of additional breeding sites in Queen’s Channel, Nunavut, adds to growing evidence that this species is established as a regular breeder in the Canadian High Arctic despite its current status as a Threatened Species in Canada. We present nine breeding records of Ross’s gull in Canada. Five are from Queen’s Channel alone, and these include two new breeding records from 2011. The geographic proximity and similarity in topography, microhabitat, and interspecific nesting associ-ations that characterize Ross’s gull nesting sites in the Canadian High Arctic suggest that additional surveys of surrounding suitable habitat would confirm a stable and globally significant breeding population of this very poorly known species in North America. Key words: Ross’s gull, Rhodostethia rosea, breeding site, High Arctic, threatened species, polynya, biogeography RÉSUMÉ. Selon des données déjà publiées, il n’existe que quatre lieux de reproduction de la mouette rosée (Rhodostethia rosea) en Amérique du Nord. Cependant, la découverte de nouveaux lieux de reproduction dans le chenal Queens, au Nunavut, vient renforcer les preuves selon lesquelles cette espèce est établie en tant qu’oiseau nicheur régulier dans l’Extrême-Arctique canadien, même si elle fait actuellement partie de la liste des espèces menacées au Canada. Nous présentons neuf enregis-
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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".