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Record W2107295165 · doi:10.1177/0956797610394660

Prepared for Anything?

2010· article· en· W2107295165 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePsychological Science · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsUniversity of Lethbridge
FundersUniversity of Lethbridge
KeywordsSexual arousalArousalPsychologySex organNarrativeDevelopmental psychologySexual behaviorSexual violenceSocial psychologyClinical psychologyCriminology

Abstract

fetched live from OpenAlex

Men's genital arousal occurs in response to a limited number of sexual stimuli, whereas women's genital arousal occurs in response to a wide range of sexual stimuli, including those depicting nonpreferred cues. Researchers have hypothesized that women's nonspecific pattern of genital arousal prepares the body for sexual activity, thus functioning to protect the genital organs against injury. If this hypothesis is correct, women should show genital responses to any cues suggesting sexual activity, even unappealing cues that involve nonconsensual sex and extreme violence. Fifteen men and 15 women listened to fourteen 2-min audiotaped narratives that depicted an interaction between a man and a woman and that varied factorially according to the presence of consent, violence, and sexual activity. The results support the preparation hypothesis: Men showed the greatest genital arousal in response to narratives depicting consensual, nonviolent sex, whereas women showed similar responses to all the narratives involving sexual activities, including those describing a sexual assault.

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.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.889
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.074
GPT teacher head0.467
Teacher spread0.393 · 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