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Record W2274669768 · doi:10.1111/pere.12118

Men's sociosexuality is sensitive to changes in mate availability

2016· article· en· W2274669768 on OpenAlexaff
Steven Arnocky, Nathan Woodruff, David P. Schmitt

Bibliographic record

VenuePersonal Relationships · 2016
Typearticle
Languageen
FieldPsychology
TopicEvolutionary Psychology and Human Behavior
Canadian institutionsNipissing University
Fundersnot available
KeywordsPsychologySocial psychologyScarcityMate choiceMatingDevelopmental psychologyEcologyBiology

Abstract

fetched live from OpenAlex

Abstract Correlational research has linked mate availability to human sexual behavior, whereby unrestricted sociosexuality seems to be most common under conditions of female abundance. In this study, 71 heterosexual men were randomly assigned to one of two mate availability priming conditions, mate scarcity or mate abundance, and subsequently completed measures of sociosexuality as well as infidelity intentions. Results indicated that men in the mate abundance condition reported stronger sociosexual attitudes and desires, and among those currently in relationships, stronger infidelity intentions. These findings were contrasted with those from a separate sample of 66 heterosexual undergraduate women. Mate scarcity had no effects on women's sociosexuality or infidelity intentions. Findings suggest that when mates are scarce, men will adopt a sociosexual orientation aimed at maintaining a single partner.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.113
GPT teacher head0.371
Teacher spread0.258 · 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

Citations51
Published2016
Admission routes1
Has abstractyes

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