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Record W2029246615 · doi:10.1139/z02-064

The presence of the male facilitates parturition in California mice (<i>Peromyscus californicus</i>)

2002· article· en· W2029246615 on OpenAlexfundvenueno aff
Anna W. Lee, Richard E. Brown

Bibliographic record

VenueCanadian Journal of Zoology · 2002
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaDalhousie University
KeywordsLickingBiologyPeromyscusGestationPaternal careGestation periodMatingPregnancyEndocrinologyPhysiologyZoologyOffspring

Abstract

fetched live from OpenAlex

The California mouse (Peromyscus californicus) is a monogamous species with biparental care. The present study investigated the behaviour of the male during parturition and compared the behaviour of females that gave birth when in male–female pairs with that of females whose mate was removed 2 days prior to the expected birth date and thus gave birth alone. Parturitions were videotaped and the behaviour of each mouse was analyzed during parturition and during the 15 min before and 15 min after parturition. The results showed that males licked the anogenital region of the female, ate the placenta, and exhibited parental care as soon as the pups were born. Females in pairs received more body grooming and anogenital stimulation during parturition than females alone, owing to the additional licking received from their mate. In addition, pups born with the father present received more licking during and after parturition than pups born to females housed alone. Removal of the male near the end of the gestation period delayed parturition by 1 day. These results show that male California mice participate in the birth process by assisting the female and caring for pups, and that the presence of the male during the gestation period may facilitate parturition.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.025
GPT teacher head0.254
Teacher spread0.229 · 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

Citations20
Published2002
Admission routes2
Has abstractyes

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