MétaCan
Menu
← Back to cohort
Record W7128769965 · doi:10.26108/85ec-c529

Status of High Arctic Black-Legged Kittiwake (Rissa tridactyla) Colonies in Barrow Strait, Nunavut, Canada

2009· article· en· W7128769965 on OpenAlexaboutno aff
Mark L. Mallory, Jason A. Akearok, Anthony J. Gaston

Bibliographic record

VenueOpen MIND · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsnot available
Fundersnot available
KeywordsArcticAerial surveyThe arcticGroenlandiaWest coast

Abstract

fetched live from OpenAlex

We used aerial survey estimates, photographic censuses, and plot counts to examine trends in the size of five black-legged kittiwake (Rissa tridactyla) colonies around Barrow Strait, eastern Nunavut, Canada, between 1972 and 2007. During these three decades, one small colony disappeared, two medium-sized colonies showed no overall trend, and one moderate and one large colony appeared to increase in size. Collectively, the number of kittiwakes breeding in this region may have increased by over 40%. Counts of kittiwakes at some colonies were markedly low in 2003, following two consecutive years of late, extensive sea ice, although overall there was no significant relationship between numbers of kittiwakes attending colonies and sea-ice extent in Barrow Strait and Lancaster Sound. It is not known why kittiwake colonies in High Arctic Canada have apparently increased while those in West Greenland and elsewhere have declined, or what factors influenced these changes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.250

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.021
GPT teacher head0.258
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueOpen MIND→Same topicMarine animal studies overview→French-language works237,207→