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Record W7002006898

Mating system and social behavior of rusty blackbirds on Yukon Flats National Wildlife Refuge

2013· dissertation· en· W7002006898 on OpenAlexaboutno aff

Bibliographic record

VenueCSUN ScholarWorks (California State University, Northridge) · 2013
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
FundersAlaska Department of Fish and GameMassachusetts Department of Fish and Game
KeywordsMating systemPolygynyNest (protein structural motif)MatingWildlifeWildlife refugeParental investment
DOInot available

Abstract

fetched live from OpenAlex

Many aspects of the breeding biology of the rapidly declining Rusty Blackbird (Euphagus carolinus) are unknown.I used behavioral observations and genetic analyses to gain a better understanding of their mating system, on Yukon Flats National Wildlife Refuge, Alaska, USA.Four polymorphic microsatellites developed for other avian species (QmAAT21, QmAAT37, Aph54, and Mp2-43) were used to assess rates of extrapair paternity, polyandry, and egg dumping.Behavioral observations were employed to identify the social mating system and parental nest investment in relation to genetic contributions.In contrast to previous studies, my results indicate that male Rusty Blackbirds are not socially monogamous; over 15% of nests belonged to polygynous males.There was no evidence of polyandry or egg dumping, but extra-pair paternity (EPP) occurred in 33% of nests.There was no correlation between the proportion of young that a male sired in a nest and either feeding rate or nest defense.Further studies are needed to investigate the role of environmental and social factors on mating systems and the rates of polygamy and EPP in Rusty Blackbirds.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.003

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 head0.210
Teacher spread0.186 · 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 designNot applicable
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 routes1
Has abstractyes

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