Crowding in Context: An Examination of the Differential Responses of Men and Women to High-Density Living Environments
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 study examines the question of gender-equivalent outcomes of mental health and social behavior in the context of crowding stress. It tests the hypothesis that gender will influence the exhibition of stress outcomes resulting from exposure to high-density living environments, with women displaying internalized responses and men responding with externalized styles. Expanding on the types of gender-appropriate disorders examined in this area of research, I selected depression, aggression, and withdrawal as gender-specific disorders based on theory and prior research. Multilevel analyses of data from a survey of Toronto residents indicate that, while the effects of household density are conditioned by gender, support for the existence of gender-equivalent outcomes is mixed. While women living in crowded homes are more likely to be depressed, men exposed to high-density living environments do not report increased aggression. However, men report higher levels of withdrawal, and some males respond with both aggression and withdrawal.
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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