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Record W6946413667 · doi:10.34944/dspace/3163

Studying Rape: The Production of Scientific Knowledge about Sexual Violence in the United States and Canada

2018· other· en· W6946413667 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTUScholarShare (Temple University) · 2018
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSexual violenceAggressionSociology of scientific knowledgePoison controlHuman factors and ergonomicsSuicide preventionSocial issuesPerceptionKnowledge production

Abstract

fetched live from OpenAlex

In 1987, statistics transformed rape from a rare and personal concern into an epidemic in popular consciousness. Mary Koss and colleagues conducted victimization surveys with thousands of college women, 1 in 4 of whom reported completed or attempted rape. This finding received tremendous attention in the 1980s, and continues to influence activists and state officials. Notwithstanding the importance of this and other scientific facts, scholars have rarely explored the role of scientists in shaping perceptions of and responses to sexual violence. This project addresses that gap in the literature, via the following questions: (1) how have scientists conceptualized sexual violence among adults; and (2) what social mechanisms enable, constrain, and otherwise influence scientific research on sexual violence? Drawing on insights from feminist science studies, I approach sexual violence as an intra-active phenomenon, and regard objects of study (sexual violence) as inseparable from agencies of observation (research instruments, researchers). Data came from three sources: content analysis of journal abstracts (N=1,313), in-depth assessment of texts in different subfields (N=84), and interviews with researchers (N=31). Ultimately, I argue that sexual violence research has been dominated by psychological inquiries, as well as gendered assumptions regarding who is most capable of perpetrating and experiencing rape. Scientists have produced a tremendous body of knowledge regarding the individual-level causes, individual-level outcomes, and prevalence of men’s sexual aggression toward women. Systemic forces and sexual violence that deviates from this particular gendered pattern remain underexamined. I further argue that scientific research on sexual violence is shaped by a range of social mechanisms that are particular to fields associated with questions of social morality and social movements including feminism(s).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.613
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.246
Teacher spread0.212 · 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

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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