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AGE-RELATED DIFFERENTIAL TIMING OF SPRING MIGRATION WITHIN SEXES IN PASSERINES

2002· article· en· W2176523416 on OpenAlexfundno aff
Rebecca Lori May Stewart, Charles M. Francis, CHERYL MASSEY

Bibliographic record

VenueThe Wilson Bulletin · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
FundersBird Studies Canada
KeywordsPlumageBiologyDemographyAge groupsSignificant differenceZoologyEcologyMedicine

Abstract

fetched live from OpenAlex

We examined differential timing of spring migration by age class for passerines banded at Long Point Bird Observatory from 1984 to 1998. Mean capture dates of after-second-year (ASY) males were earlier than second-year (SY) males for 19 of 20 species, 16 significantly so. Mean capture dates of ASY females were earlier than SY females for 11 of 12 species, 8 significantly so. There was no significant difference in the timing of migration between age classes for males of species with highly distinctive SY plumages and males of other species with more subtle plumage differences between age classes. For 12 species with adequate samples of both sexes, the mean difference in capture dates between age classes was significantly greater for males (3.5 days) than for females (2.1 days). These results suggest that differential migration by age class is widespread among passerines and that factors leading to the delayed arrival of young males also may affect females, though to a lesser extent.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.993

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)0.0080.000

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 head0.208
Teacher spread0.193 · 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

Citations90
Published2002
Admission routes1
Has abstractyes

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