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Record W2090035446 · doi:10.2174/1874453200801010048

Size and Composition of Foraging Flights in Two Species of Piscivorous Colonial Birds: Limited Evidence for Intra- or Interspecific Information Transfer

2008· article· en· W2090035446 on OpenAlexaff
Jennifer L. Doucette, Victoria A. Kjoss, Christopher M. Somers

Bibliographic record

VenueThe Open Ornithology Journal · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsForagingInterspecific competitionBiologyPredationEcologyZoologyNest (protein structural motif)

Abstract

fetched live from OpenAlex

Colonial birds must derive benefits from living in conspecific groups and with other species.One possible benefit is that they follow previously successful individuals to foraging sites (information center hypothesis).To test for evidence of intra-and interspecific information transfer, we assessed the group size and composition of flights of doublecrested cormorants (Phalacrocorax auritus) and American white pelicans (Pelecanus erythrorhynchos) at two mixed colonies.Flights by solo individuals were the most common outbound type, suggesting that the birds do not immediately follow others.However, the majority of the total number of outbound birds traveled in groups.In comparison, groups inbound to colonies and flying between feeding locations were large.Regardless of flight direction, groups were almost always largest during the late chick-rearing period.This suggests that groups may have some function, although likely not to share information about foraging-sites.Mixed-species groups in general were rare, so it is unlikely that these birds commonly locate prey by following other species in flight.

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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
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 head0.060
GPT teacher head0.314
Teacher spread0.255 · 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
Published2008
Admission routes1
Has abstractyes

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