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Record W2042098643 · doi:10.1139/z08-005

Asynchronous breeding in the socially monogamous prairie vole

2008· article· en· W2042098643 on OpenAlexvenueno aff
Jerry O. Wolff, Alexander G. Ophir, Steven M. Phelps

Bibliographic record

VenueCanadian Journal of Zoology · 2008
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsnot available
FundersNational Science Foundation
KeywordsBiologyPrairie voleMicrotusPaternal careVoleMatingPredationOffspringMating systemBreedContext (archaeology)ZoologyEcologyPredatorDemographyPopulationPregnancy

Abstract

fetched live from OpenAlex

At least two hypotheses have been proposed for why animals should breed synchronously: (1) to swamp predators and reduce the probability of offspring being killed and (2) to promote monogamy when paternal care is important for offspring survival. Thus prey and monogamous species are likely candidates for synchronous breeding. We conducted an experiment to determine if a prey species, the monogamously breeding prairie vole ( Microtus ochrogaster (Wagner, 1842)), breeds synchronously. We conducted eight replicates in which we placed six nulliparous females and six adult males in semi-natural enclosures for 18–21 days to determine if they bred synchronously. The time of conception ranged from 2 to 18 days within replicates with no indication of breeding synchrony within any of the populations. Thus neither predator avoidance nor paternal care models were supported for prairie voles. We conclude that rodents in general are not good models for breeding synchrony and that females use alternative mating tactics to enhance their lifetime reproductive success. We discuss our results in the context of the prairie vole mating system.

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)0.001
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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.043
GPT teacher head0.295
Teacher spread0.252 · 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

Citations4
Published2008
Admission routes1
Has abstractyes

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