MétaCan
Menu
← Back to cohort
Record W1964645468 · doi:10.1080/03078698.2001.9674258

Effects of handling stress on Brunnich's Guillemots<i>Uria lomvia</i>

2001· article· en· W1964645468 on OpenAlexfundno aff
Linda J. Wilson, Anthony J. Gaston

Bibliographic record

VenueRinging & Migration · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsnot available
FundersNatural Resources CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsCaptivityBiologyAnimal scienceDemographyEcology

Abstract

fetched live from OpenAlex

The effects of various handling procedures on breeding Brunnich's Guillernot Uria lomvia were compared, using the length of time it took for individuals to return to the colony after handling (return time), to indicate the degree of stress imposed. Return times were affected by sex, with males taking longer to return than females. There was no significant effect of experience (age), although experienced males (>7 years old, the largest sample group) tended to have shorter return times than inexperienced males. Only experienced males were used to compare the effects of treatment on return times. Treatments included attachment of depth gauges, blood sampling, and two control groups of birds held for Wand 20 minutes. Return times did not differ significantly among treatments, except for the group that was held for 20 minutes. Return times were significantly correlated with handling times. We conclude that, for experienced male Brunnich's Guillemots, the type of treatment used did not have any significant effect over and above that imposed by the amount of time the bird was held. The results suggest that treatment during handling may not be an important factor determining stress, compared to the effect of capture and the subsequent amount of time spent in captivity.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.223
Teacher spread0.210 · 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

Citations3
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueRinging & Migration→Same topicAnimal Behavior and Reproduction→French-language works237,207→