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Record W4233305108 · doi:10.31234/osf.io/q3zd6

Reasonable Men: Sexual Harassment and Norms of Conduct in Social Psychology

2020· preprint· en· W4233305108 on OpenAlexafffund
Jacy L. Young, Peter Hegarty

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicPsychology of Social Influence
Canadian institutionsQuest University Canada
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHarassmentPsychologyDilemmaSocial psychologyDisciplineReflexivityCriminologySociologyGender studiesSocial scienceEpistemology

Abstract

fetched live from OpenAlex

Sexual harassment has received unprecedented attention in recent years. Within academia, it has a particularly reflexive relationship with the human sciences in which sexual harassment can be both an object of research and a problematic behaviour amongst those engaged in that research. This paper offers a partial history in which these two are brought together as a common object of social psychology’s culture of sexual harassment. Here we follow Haraway (1997) in using culture to capture the sense making that psychologists do through and to the side of their formal knowledge production practices. Our history is multi-sited and draws together (1) the use of sexual harassment as an experimental technique, (2) feminist activism and research which made sexual harassment an object of knowledge in social psychology, and (3) oral history accounts of sexual harassment amongst social psychologists. By reading these contexts against each other, we provide a thick description of how sexual harassment initiates women and men into cultures of control in experimental social psychology and highlight the ethical-epistemological dilemma inherent in disciplinary practices.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.432
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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.169
GPT teacher head0.469
Teacher spread0.301 · 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 designObservational
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
Published2020
Admission routes2
Has abstractyes

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