‘I had a lot of anger and that’s what kind of led me to cutting myself’: Employing a social stress framework to explain why some homeless women self-injure
Bibliographic record
Abstract
The goal of this article is to address three research questions that are important for understanding selfinjuring behaviors among homeless women: (1) Do homeless women self-injure? (2) If so, do the correlates of self-injuring behavior among homeless women in our self-injuring group differ in type from stressors experienced by homeless women who do not self-injure? (3) Do women who have engaged in self-injuring experience a greater number of significantly stressful events than those who do not? To answer these questions, we draw on data from the 55 in-depth qualitative interviews conducted in Manchester and Liverpool, UK. What our research demonstrates is that self-injury occurs and, in our sample, is linked not only to age and length of homelessness, but also to experiences of childhood trauma. Women in our sample who have engaged in self-injuring behaviors were also found to have experienced three or more significant stressors over their life course.
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".