Coping With Stressors and General Resistance Resources Used by Individuals Experiencing Homelessness in Minneapolis Tent Camps
Bibliographic record
Abstract
Homelessness remains a significant public health issue across the United States, particularly in urban areas. Individuals become and remain homeless for multifaceted and complex reasons that are linked to well-being. The aim of this study was to understand the well-being of persons experiencing homelessness (PEH) and living in tent camps using Aaron Antonovsky’s salutogenic model of health (SMH). To address well-being, we conducted a basic qualitative study with thirty adults over age 18 who self-identified as homeless and living in tent camps within the city of Minneapolis. With a semi-structured interview guide that centered on the SMH, we analyzed data using Johnny Saldaña’s qualitative coding method. Sources of stress themes, including (1) “family trauma” (depression/trauma related to the death of a loved one and drugs, imprisonment, and abuse), (2) “mental health” (depression/trauma related to the death of a loved one, loneliness living in tent camps, substance use, mental illness), and (3) “change and threats” (constant fear of aggression, lack of stability of the tent camp, bad people causing problems, cliques in the camp). Themes of general resistance (GRRs) resources (coping with stress), or GRRs emerged, including (1) “systems knowledge,” (2) “coping strategies,” (3) “sense of community,” (4) “camp stability,” and (5) “human dignity” emerged during data collection and analysis. These findings can inform policy decisions related to increasing services to exit homelessness, funding for sustainable tent camps, and sweeps of tent camps in the city of Minneapolis and beyond.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".