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Record W7024385586

A Qualitative Exploration of Undergraduate Student Perspectives \nof Sexual Consent Within a Sexual Script Framework

2023· article· en· W7024385586 on OpenAlexaboutno aff

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Technological Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsThematic analysisNormativeScripting languageReproductive healthInformed consentQualitative research
DOInot available

Abstract

fetched live from OpenAlex

There appear to be widespread misunderstandings and disagreement regarding the definition and execution of sexual consent among postsecondary students. Without a clear understanding of what constitutes sexual consent, navigating consent-related situations can be challenging for individuals. Sexual script theory may explain gaps in consent knowledge by highlighting the social normative references, or sexual scripts, individuals may rely on when knowledge of consent is insufficient or challenging to apply. The goal of the current study was to qualitatively explore Canadian undergraduate students' perceptions and experiences of sexual consent within the framework of sexual script theory. Using focus groups, <i>N</i> = 56 undergraduates discussed perceptions of sexual consent, under what circumstances they perceive it to be required, potential "grey areas" of sexual consent and how they are navigated, and how gender may intersect with sexual consent. Transcripts were analyzed within a framework of sexual script theory using inductive coding and thematic analysis. Although participants understood Canadian legally codified scripts well, they seemed to rely on socio-cultural and gendered sexual consent scripts when legal scripts were insufficient or challenging to apply, particularly in ambiguous consent scenarios. The findings suggest that beyond providing educational opportunities and interventions within formal school settings that encompass a wider range of sexual consent scenarios, there is a need to address socio-cultural norms/sexual scripts regarding consent within the broader 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.864
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.007
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.140
GPT teacher head0.312
Teacher spread0.172 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2023
Admission routes1
Has abstractyes

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