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Record W2171289667

The influe nce of weather and ambient light on the dawn chorus start times of north temperate birds

2013· article· en· W2171289667 on OpenAlexafffund
Adrianna Bruni

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Vocal Communication and Behavior
Canadian institutionsUniversity of Windsor
FundersSociety of Canadian OrnithologistsOntario Ministry of Research and InnovationNatural Sciences and Engineering Research Council of CanadaAlgoma UniversityUniversity of Windsor
KeywordsChorusTemperate climateMeteorologyEnvironmental scienceAtmospheric sciencesEcologyBiologyGeographyPhysicsArt
DOInot available

Abstract

fetched live from OpenAlex

The dawn chorus is a bout of increased song output performed by birds prior to sunrise during the breeding season. Although nearly ubiquitous among avian species, the dawn chorus is poorly understood compared to daytime song. Little is known about how extrinsic variables influence dawn chorus performance. In this thesis, I measured relationships between dawn chorus start times and moon brightness, cloud cover, precipitation, ambient temperature, and artificial light exposure in a community of north temperate birds. I found that birds begin their dawn choruses significantly earlier with increasing moon brightness and ambient temperature, and significantly later with presence of cloud cover and precipitation. I found no significant changes in dawn chorus start times when birds were exposed to short-term overnight artificial lighting. This research serves as the first comprehensive study of the effects of extrinsic factors on dawn chorus start times in north temperate birds.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

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 studies0.0000.000
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 head0.015
GPT teacher head0.217
Teacher spread0.202 · 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
Published2013
Admission routes2
Has abstractyes

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