Fixed Nodes of Transience: Narratives of Homelessness and Emergency Department Use
Bibliographic record
Abstract
Discourse in popular media, public policy, and academic literature contends that people who are homeless frequently make inappropriate use of hospital emergency department (ED) services. Although researchers have investigated the ED experiences of people who are homeless, no previous studies have examined how this population understands the role of the ED in their health care and in their day-to-day lives. In the present study, 16 individuals participated in semistructured interviews regarding their ED experiences, and narrative analysis was applied to their responses. Within the context of narratives of disempowerment and discrimination, participants viewed the ED in differing ways, but they generally interpreted it as a public, accessible space where they could exert agency. ED narratives were also paradoxical, depicting it as a fixed place for transient care, or a place where they were isolated yet felt a sense of belonging. Implications for policy and practice are discussed.
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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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".