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Sexual Harassment: Everyday Violence in the Lives of Girls and Women

2000· review· en· W2327337281 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAdvances in Nursing Science · 2000
Typereview
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsHarassmentGirlPsychologyAllianceSexual violencePopulationResistance (ecology)Poison controlDevelopmental psychologySocial psychologyCriminologyPolitical scienceSociologyMedicineDemographyMedical emergency

Abstract

fetched live from OpenAlex

Sexual harassment is one of the most insidious, yet pervasive, forms of violence that affects all girls, not merely those traditionally thought to be vulnerable or at risk. Although harassment in the workplace has been the focus of considerable attention during the last decade, there is a growing recognition that girls experience varied forms of sexual harassment, and that this behavior begins at a surprisingly early age. This article examines the plight of the "girl child" and presents findings from the first phase of a national action research project currently being conducted by the Canadian Alliance of Five Research Centres on Violence. A major objective of this project is to examine how violence becomes "normalized" in the lives of girls and young women. Implications for nurses, including strategies aimed at encouraging resistance among this population, are addressed.

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.

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.950
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.004
Scholarly communication0.0000.001
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 head0.034
GPT teacher head0.432
Teacher spread0.398 · 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