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Record W4388942078 · doi:10.29173/eureka28799

The effect of sunrise timing and mountain aspect on the dawn chorus of Swainson’s Thrush

2023· article· en· W4388942078 on OpenAlexafffundvenue
Ramnik Aojula, Anna L. Jacobsen, Erin M. Bayne

Bibliographic record

VenueEureka · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Vocal Communication and Behavior
Canadian institutionsUniversity of Alberta
FundersUniversity of Alberta
KeywordsSunriseChorusThrushGeographySunsetSingingEcologyMeteorologyBiologyArtPhysicsAstronomy

Abstract

fetched live from OpenAlex

This study centers on the Swainson’s Thrush (Catharus ustulatus), uniquely identified by a buffy eye ring, uniformly brown back and tail, and a distinctive flute-like song with an ascending pitch. With a prevalent presence in woodlots, parks, and fruiting trees, they breed in coniferous forests with dense undergrowth, displaying notable vocalization and behaviour patterns. This research aims to explore the impact of pre- and post-sunrise timing and mountain aspect (North, East, South, West) on the dawn chorus of Swainson’s Thrush. The hypothesis posits that those exposed to earlier sunlight will sing prior to those experiencing delayed sunlight. Specific predictions are made for each mountain aspect, considering temperature, sunlight exposure, and resulting bird activity levels. To test the hypothesis, five audio recording units (ARUs) are set up across the mountain's four sides. Three recordings are made before and after sunrise for each side, grouped as North, South, East, and West. Results reveal a statistically significant interaction between direction and time since sunrise, while direction alone does not significantly impact song frequency. Time since sunrise and Julian's days also influence singing behaviour. The study shows the intricate relationship between environmental factors, sunrise timing, and mountain aspect on the dawn chorus behaviour of Swainson's Thrushes. These findings underscore the need for further investigation into additional factors influencing the dawn chorus, contributing to avian ecology and conservation understanding. By unravelling these complexities, conservation efforts can be better informed and aligned.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score0.140

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)0.0000.000

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 head0.024
GPT teacher head0.299
Teacher spread0.275 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2023
Admission routes3
Has abstractyes

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