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Record W6981866486

Flight call response and energetics: two case studies analyzing migratory biology in select passerines on the south shore of Lake Ontario

2021· dissertation· en· W6981866486 on OpenAlexaboutno aff

Bibliographic record

VenueSUNY Digital Repository Support (State University of New York System) · 2021
Typedissertation
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsPasserineBayBird migrationThrushShoreCharadriiformesGeolocation
DOInot available

Abstract

fetched live from OpenAlex

Passerine migration is an energy-intensive behavior that occurs during spring and autumn, often between distant breeding and wintering grounds. Stopover sites provide places to rest and refuel. This two-part collaborative thesis studied extrinsic and intrinsic factors that affected the behavior and energetics of migratory passerines that visited Braddock Bay Bird Observatory (BBBO), located on the south shore of Lake Ontario. First, we compared the conspecific flight-call response of 2 parulid species captured spring 2018 and 2019 during the day and at dusk. Responsiveness was much lower at dusk, which suggests flight-call communication is likely not an important feature of dusk departure in parulids. Second, we constructed seasonal path models using BBBO bird banding data from 1999-2016 to examine the impacts of extrinsic (i.e., capture date and hour captured) and intrinsic (i.e., age and sex) factors on the energetic condition of 3 Catharus thrushes. Capture date was the most important predictor of condition followed by age and hour, except when sex was included in our models. However, analyses of sex were limited (and potentially inflated) because we could only determine the sex of the largest and smallest individuals in one species, the Swainson’s Thrush (C. ustulatus). Both studies showed that extrinsic and intrinsic factors have important implications on passerine migration behavior and physiology and that migratory behavior is complex and worthy of additional investigation.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.540
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.201
Teacher spread0.190 · 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.

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
Published2021
Admission routes1
Has abstractyes

Explore more

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