Comparing the Characteristics of Homeless Adults in Poland and the United States
Bibliographic record
Abstract
This study compared the characteristics of probability samples of homeless adults in Poland (N = 200 from two cities) and the United States (N = 219 from one city), using measures with established reliability and validity in homeless populations. The same measures were used across nations and a systemic translation procedure assured comparability of measurement. The two samples were similar on some measures: In both nations, most homeless adults were male, many reported having dependent children and experiencing out-of-home placements when they themselves were children, and high levels of physical health problems were observed. Significant national differences were also found: Those in Poland were older, had been homeless for longer, showed lower rates on all psychiatric diagnoses assessed (including severe mental and substance abuse disorders), reported less contact with family and supportive network members, were less satisfied when they sought support from their networks, and reported fewer recent stressful life events and fewer risky sexual behaviors. Culturally-informed interpretations of these findings and their implications are presented.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".