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Record W4321090876 · doi:10.1177/09637214221141855

The Development of Perpetration and Tolerance of Sexual Harassment

2023· article· en· W4321090876 on OpenAlexfundno aff
Christia Spears Brown, Sharla D. Biefeld

Bibliographic record

VenueCurrent Directions in Psychological Science · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsnot available
FundersMcMaster University
KeywordsHarassmentPsychologyObjectificationSocializationDevelopmental psychologyDominance (genetics)PermissiveSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

The sexual harassment of girls and women is a common occurrence that begins in early adolescence and continues into adulthood. Not only is experiencing sexual harassment common, but it is also widely accepted and tolerated. In the current article, we use the bioecological theory of sexual harassment of girls to explain why this may be. Specifically, we discuss that the perpetration and tolerance of sexual harassment is built on a foundation of gendered socialization, media consumption, peer interactions, and permissive school environments that encourages passivity and objectification in girls and aggressiveness and dominance in boys. We outline how this process begins in infancy and continues throughout development, ultimately fostering an environment in which the sexual harassment of girls and women flourishes. Important implications for preventing sexual harassment are also discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.120
GPT teacher head0.466
Teacher spread0.346 · 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 source (direct Gemma or distilled Codex), 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

Citations13
Published2023
Admission routes1
Has abstractyes

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