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Vigilance in Greater Flamingos Foraging at Night

2003· article· en· W2071092252 on OpenAlexafffund
Guy Beauchamp, Raymond McNeil

Bibliographic record

VenueEthology · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsUniversité du QuébecUniversité de MontréalCegep de Saint Hyacinthe
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsVigilance (psychology)ForagingPredationFlockNocturnalBiologyEcologyZoology

Abstract

fetched live from OpenAlex

Abstract Vigilance studies have mostly focused on adaptive changes in antipredator behavior during the day. Adjustments in vigilance patterns in species that also forage at night are poorly known. Birds may forage at night to evade predation or other sources of disturbance, in which case levels of vigilance are expected to decrease at night. However, low visibility at night, especially on moonless nights, may compromise visual detection of predators, in which case levels of vigilance are expected to increase at night. We examined the effect of time of day on vigilance in non‐breeding Greater Flamingos foraging in a tropical lagoon complex in Venezuela. Vigilance increased on darker nights but overall levels of vigilance at night did not differ from daytime values. Vigilance decreased with group size in a similar fashion both during day and night. Flamingos foraged in smaller flocks at night than during the day. The occurrence of small flocks, in which vigilance was quite high, and the increase in vigilance on dark nights imply that the amount of time allocated to foraging must be generally lower at night in flamingos. The results suggest that the night was not perceived as safer by foraging flamingos, and that visual detection of predators was probably compromised by low light levels.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.002

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 head0.014
GPT teacher head0.248
Teacher spread0.234 · 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; both teacher heads agree on what is shown here.

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

Citations44
Published2003
Admission routes2
Has abstractyes

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