Stuck at the Front Door: Gender, Fear of Crime and the Challenge of Creating Safer Space
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.
Bibliographic record
Abstract
This paper is in respectful challenge to two streams in urban social geography and planning literatures: the question of how gendered geographies of fear help constitute identities spatially, and the related question of how gendered urban space can be made and remade to be more egalitarian. I argue that the first of these bodies of literature is often trapped in an unhelpful public–private divide, which reflects the inability of mainstream crime prevention to include violence committed within families and households as a central focus of concern. I further argue that the question of how urban space can become more egalitarian needs to be concerned with violence and fear in the private realm as well as the public realm. Although the paper is primarily a review of recent academic and policy-oriented literature, my arguments are illustrated by a research project on how grassroots organizations serving new-arrival women in the outer suburbs of Melbourne and Toronto, as well as their funders, are redefining violence and safer space.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it