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Record W7163592486 · doi:10.21199/wb46.3.8

FIRST OCCURRENCE OF THE CAVE SWALLOW IN BRITISH COLUMBIA

2015· article· W7163592486 on OpenAlexaboutno aff
Paul G. Levesque, Jamie Fenneman, JEREMIAH KENNEDY

Bibliographic record

VenueWestern Birds · 2015
Typearticle
Language
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsCaveCliffFeatherForagingBarn

Abstract

fetched live from OpenAlex

On 11 November 2012 we observed a group of four swallows foraging over a freshwater pond at Iona Island Regional Park in Richmond, British Columbia (49° 21´ N 123° 21´ W). At a distance of 100 m, we quickly identified three of them as Barn Swallows (Hirundo rustica), while the fourth appeared at first to be a Cliff Swallow (Petrochelidon pyrrhonota). When it got closer to the observers, we identified the fourth bird—by its dark cinnamon-orange forehead, pale cinnamon-orange throat and chin, and dark cinnamon-orange rump—as a Cave Swallow (Petrochelidon fulva) (Figures 1 and 2), a species previously unknown in British Columbia. The bird remained at Iona Island for nine days (to 19 November), during which period it was seen and photographed by many. Photographs show that the bird was undergoing primary molt and that it had replaced primaries 1 through 6 (Figure 1). The prebasic molt of adult Cave Swallows begins promptly after breeding, with flight feathers being replaced from June through September. In contrast, the preformative molt of immature birds occurs later, in the fall and winter, with flight-feather replacement from September through March (Pyle 1997). Given the date of our observation and the extent of primary replacement, we aged the bird as an immature in preformative molt.

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 score0.110
Threshold uncertainty score0.221

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 studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.022
GPT teacher head0.235
Teacher spread0.213 · 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
Published2015
Admission routes1
Has abstractyes

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