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Record W2085914833 · doi:10.4236/aasoci.2014.47022

“You Know Who the Sluts Are”: A Qualitative Analysis of the “SlutWalk”

2014· article· en· W2085914833 on OpenAlexaffabout
Todd G. Morrison, Joshua Bertram, Travis A. Ryan, CJ Bishop

Bibliographic record

VenueAdvances in Applied Sociology · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMythologyMeaning (existential)Context (archaeology)PsychologyPoliticsFocus groupSocial psychologyPower (physics)Interpretative phenomenological analysisAction (physics)Qualitative researchGender studiesSociologyPsychotherapistPolitical scienceSocial science

Abstract

fetched live from OpenAlex

In 2011, third-wave feminist activists initiated the “SlutWalk”, a protest march drawing attention to victim blaming and rape myths. The word “slut” has evolved within the context of a discourse of power and, by reaffirming categories of “good” and “bad” women, been used to justify sexual assault. The current study used three focus groups (men only, n= 2; women only, n= 7; mixed, n= 6 [3 men/3 women]) to explore Canadian undergraduate students’ views on the meaning and use of the term “slut”, and to gauge whether participants saw the “SlutWalk” as a valuable form of feminist political action. Data were examined using Interpretative Phenomenological Analysis (IPA). Results indicated that the term “slut” was perceived as negative; more applicable to women than to men; and based on having an “inappropriate” appearance and/or engaging in sex-related behaviour perceived to be “inappropriate”. The underlying message of the “SlutWalk” was sanctioned by discussants. However, support for the event itself was minimal suggesting that, contrary to opinions expressed by some academics, participants did not regard the “SlutWalk” as embodying a politics of re-signification.

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)0.003
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.022
GPT teacher head0.376
Teacher spread0.353 · 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

Citations0
Published2014
Admission routes2
Has abstractyes

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