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Record W4256021476 · doi:10.32920/ryerson.14652303

Sexual violence and the mental health system: A critical discourse analysis

2021· preprint· en· W4256021476 on OpenAlexaffabout
Julia Getchell

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsMcMaster UniversityToronto Metropolitan UniversityCentre for Social Innovation
Fundersnot available
KeywordsMental healthHuman sexualityPsychologyMental illnessSexual violencePsychiatryCriminologySociologyGender studies

Abstract

fetched live from OpenAlex

Sexual violence is a relevant topic in the Canadian mental health system. However, the dominant bio-medical understanding of mental health can be harmful to survivors. This study is focused on analyzing how sexual violence is discussed within the bio-medical mental health system. The bio-medical understanding of mental health is one that conceptualizes “mental illness” is brain disease and emphasizes pharmacological treatment. Sexual violence is a broad term that describes any violence, physical or psychological, carried out through sexual means or by targeting sexuality. Critical Discourse Analysis is used in this study to find and analyze discourses in the bio-medical mental health system found in three interviews with mental health service providers. The discourses that emerged were as follows: 1. people were “boiled down” to their diagnoses or experiences of sexual violence; 2. professionalism; 3. being funneled into “streams of care”; 4. what makes someone credible; and 5. who “gets it”. The MRP concludes with a discussion of implications of these findings for social work.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.727
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.036
GPT teacher head0.406
Teacher spread0.369 · 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 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

Citations0
Published2021
Admission routes2
Has abstractyes

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