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Record W3032822607 · doi:10.1177/1049732320922516

The Aftermath and the Aftermyth: Learning From Memoirists Who Experienced Sexual Assault While at University

2020· article· en· W3032822607 on OpenAlexaff
Katherine E. Stewart, Andrea Charise, Helene J. Polatajko, Janice Du Mont

Bibliographic record

VenueQualitative Health Research · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSexual assaultEveryday lifeMythologyMemoirPsychologyNarrativeSocial psychologyHuman sexualityCriminologyDevelopmental psychologyGender studiesSuicide preventionPoison controlSociologyMedicineHistoryMedical emergencyArtPolitical science

Abstract

fetched live from OpenAlex

There is an abundance of research on the health consequences of sexual assault during university, but less attention has been paid to how sexual assault also shapes women's everyday lives. To develop an understanding of the everyday aftermath of sexual assault, we used narrative inquiry to analyze how women textually represent everyday living after sexual assault during university within four memoirs. Memoirists discussed their lives as significantly changed and worked to repair their lives after sexual assault by engaging in a range of everyday activities. Although no single behavioral response was described, some memoirists were perceived as deviant if they engaged in behaviors that contradicted prevailing cultural myths and expectations about how one should behave after sexual assault. We need to create room for women to engage in personal, idiosyncratic responses if we are to challenge restrictive standards for doing in the aftermath of sexual assault during university.

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)0.009
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0080.003
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.405
GPT teacher head0.525
Teacher spread0.119 · 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 designQualitative
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

Citations4
Published2020
Admission routes1
Has abstractyes

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