“This Is Not a Well Place”: Neighborhood and Stress in Pigtown
Bibliographic record
Abstract
In this study we explored experiences of stress in the lives of 10 mothers and grandmothers living in a low-income, predominantly White, urban neighborhood. Based on interviews, diaries, and photographs, we learned that these women encounter a confluence of stressors related to their everyday lives, their neighborhood, and community culture and institutions. The words and images these women gave us offer insight into how we might improve public health programs and policy, shape epidemiologic variables of interest, and better understand mechanisms related to neighborhoods, stress, and health. We developed a conceptual model representing stressors and sources of stress as overlapping ecological domains. Understanding that low-income, urban women are exposed to multiple, nonindependent types and sources of stress has implications for both research methods and practice. It is our intent that this research will stimulate broad, international dialogue on how living in a poor community may impact the health of women and their children and lead to a new public health that engages whole communities and targets multiple domains.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".