Astronomical cost of living: challenging housing, transportation and commuting experiences among care workers
Bibliographic record
Abstract
Access to affordable housing and transportation are social determinants of health (SDH). Furthermore, lack of access to efficient and cost-effective public transportation can add hours to the workday, increase exposure to environmental pollutants, and reduce access to healthcare, employment and educational opportunities. Empirical evidence suggests that people have mutually reinforcing effects of precarious, low quality, inaccessible, and/or adequate housing and transportation that create vulnerable situations impacting people’s work, home life, and leisure time. In this study, qualitative data was generated from in-depth, semi-structured interviews with healthcare workers from a residential long-term care organization located in an urbanized region with both public transportation and socialized housing programs. The data reveal that precarious housing and transportation situations were ubiquitous challenging issues among a diverse group of healthcare workers, which demonstrates the need to take into account the realities of the participants’ circumstances, identify potential public health interventions, and advocate for policy change.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| 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".