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Record W2117083178 · doi:10.1139/z05-019

Life-history patterns in female wild boars (<i>Sus scrofa</i>): mother–daughter postweaning associations

2005· article· en· W2117083178 on OpenAlexvenueno aff
Gwenaël Kaminski, S. Brandt, Éric Baubet, C. Baudoin

Bibliographic record

VenueCanadian Journal of Zoology · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsnot available
FundersOffice National de la Chasse et de la Faune Sauvage
KeywordsUngulateBiologyWild boarDaughterOffspringPolygynyPopulationLitterDemographyWeaningZoologyEcologyAnimal scienceHabitatPregnancyEvolutionary biologyGenetics

Abstract

fetched live from OpenAlex

Mother–daughter postweaning associations in wild boars (Sus scrofa L., 1758) were investigated using 12 years' data from a wild population in Champagne, France. In the wild boar, a polygynous ungulate species, females (i) can reproduce as soon as they are yearlings and (ii) generally have large litters, in contrast to many other ungulate species. It is generally thought that their social organization is centered around groups of adult females and their offspring, but genealogical relationships in female groups have never been studied. Hence this species is suitable for testing the hypothesis of a matrilineal social organization. We studied the occurrence and strength of mother–daughter associations before and after the first potential breeding of yearling females, using a total of 85 individuals. Seasonal fluctuations in associations were observed, but after weaning, daughters generally remained with the mother. When leaving their natal group, yearling females formed new kin groups with sisters. Two important factors involved in the postweaning associations were adult and yearling reproductive participation and maternal age. The present study constitutes the first clear demonstration that family groups, with overlapping generations of females, represent the typical social organization in a forest wild boar population.

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 score0.486
Threshold uncertainty score0.997

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)0.0040.000

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 head0.013
GPT teacher head0.197
Teacher spread0.184 · 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

Citations103
Published2005
Admission routes1
Has abstractyes

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