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Record W3175547653 · doi:10.6000/1929-4409.2020.09.05

How Does it Feel? Factors Predicting Emotions and Perceptions Towards Sexual Harassment

2021· article· en· W3175547653 on OpenAlexvenueno aff
Ronit Peled-Laskov, Irit Ein-Tal, Lutzy Cojocaru

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHarassmentFeelingPsychologyPerceptionSocial psychologyContext (archaeology)Developmental psychologyClinical psychology

Abstract

fetched live from OpenAlex

The present research addresses the effect of different variables on emotions and on perceptions held by research participants vis-à-vis situations that could be construed as sexual harassment. A total of 833 Israeli students participated in the study and use was made of a Sexual Harassment Definition Questionnaire (SHDQ). It was found that emotions aroused due to behaviour that is perceived as sexual harassment depend on variables such as age and gender of perpetrator and victim. More negative feelings were identified towards behaviours suggestive of sexual harassment among women than men, and among younger than older individuals, principally in situations where the perpetrator is a man. Situations in which the perpetrator and the victim were of the same gender were experienced as less flattering than those in which the gender was different. It was also found that women above the age of 40 perceived behaviour in which a woman related to a man or a woman in sexual terms as a situation with a higher potential for sexual harassment than one in which a man related to a woman or a man in a similar way. The findings show the extent to which social perceptions and emotions relating to sexual harassment are dynamic and context-dependent.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.351

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.098
GPT teacher head0.389
Teacher spread0.292 · 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

Citations6
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Criminology and SociologySame topicSexual Assault and Victimization StudiesFrench-language works237,207