MétaCan
Menu
Back to cohort
Record W4413095072 · doi:10.5038/2074-1235.50.1.1457

Historical Distribution and Current Population Status of Tufted Puffins <i>Fratercula cirrhata</i> in Canada's California Current System

2022· article· en· W4413095072 on OpenAlexaboutno aff
Louise K. Blight, Gregory T. W. McClelland

Bibliographic record

VenueMarine ornithology · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOrnithologySeabirdPopulationCurrent (fluid)Fur tradeGeographyEcologyBiologyHistoryDemographyOceanographySociologySouthern Hemisphere

Abstract

fetched live from OpenAlex

Unpublished accounts indicate that the number of Tufted Puffin Fratercula cirrhata colonies in western Canada has declined in recent decades. However, a lack of recent colony count data makes it impossible to determine current trends. Here we compile published and unpublished information for Tufted Puffins in the Canadian portion of the California Current System (i.e., from the vicinity of the Scott Islands south to the Canada-US border) to update understanding of the species’ status in the region, and to assemble available information in a single source. We found historical records of three additional colonies over those in pre-existing compilations, bringing the total count for the region to 19. However, 11 of these are currently extirpated and another three likely so. All but one of these extirpated colonies are ‘very small’ (historical mode of counts, 1–3 pairs), reflecting patterns of Tufted Puffin colony loss in US waters to the south. Two larger puffin colonies (historical counts, 20–50 pairs) underwent abandonment in the 1990s, but one of these appears to have been recolonized recently. Tufted Puffin numbers at Canada’s largest colony, Triangle Island, are likely stable. A lack of standardized monitoring of these colonies, with the exception of Triangle Island, makes it challenging to understand population trends, undertake restoration work, or mitigate current threats.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.643
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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

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 head0.008
GPT teacher head0.202
Teacher spread0.194 · 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 teacher head, 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueMarine ornithologySame topicFish Ecology and Management StudiesFrench-language works237,207