Examining the immediate and enduring psychological impact of street harassment on women’s mental health
Bibliographic record
Abstract
Purpose Many women report experiences of street harassment during their lifetime. Previous quantitative survey research has shown the variety of ways in which this type of harassment can impact upon a victim’s life, including restricting their freedom of movement and fear of further victimisation. The purpose of this study is understand the immediate and enduring psychological impact of street harassment on female victim-survivors. Design/methodology/approach The present study aims to explore, qualitatively, women’s experiences of street harassment through thematic analysis of on 35 online blog posts. Data were collected from the “Stop Street Harassment” website, where women are invited to share their experiences anonymously. Findings Three main themes were generated from the data. First was the age at which women began to experience street harassment, with recurring early incidents during formative childhood years. Second was the impact that experiences had on their mental health and psychological well-being with feelings of shame, fear, self-loathing, as well as decreased self-esteem and confidence experienced in the immediate aftermath – though the longer-term negative emotions reported were enduring feelings of anger alongside a constant state of anxiety from feelings of vulnerability to further victimisation. The final theme was the modification of behaviour after experiencing street harassment where women choose to avoid walking alone on the streets or consciously changed their clothing choices, to avoid being harassed. Originality/value This study offers a further qualitative insight into the real-life experience and psychological consequences of street harassment upon survivors’ mental health.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".