Social Determinants of Health and Stories of Homelessness in Fort McMurray, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Little research has been conducted to investigate the needs and challenges of homeless individuals living in FM. In this paper, the social determinant of health that exacerbated homelessness in Fort McMurray, Canada, were highlighted . The study implemented a participatory action research design. In-depth open-ended life history interviews were conducted individually with 15 participant which were experiencing homelessness at the time of the study. Common threads were identified across shared experiences embedded within the broad social, cultural, and institutional macro system. These adults face difficult daily challenges including finding adequate and affordable housing and food, securing a safe place to sleep, overcoming addictions and consequently avoiding the rampant availability of drugs and alcohol. Many of FM’s homeless also deal with job loss, physical and mental health problems, dangerous environments, and traumatic histories of hardship. Many have been exposed to histories of addictions and depression. The homeless population of FM experiences multiple barriers to survival, including a limited number of available shelter beds, restrictive shelter rules, and high rental-housing costs. The unique economic situation in FM impacts homeless people as a result of the extremely high cost of living, and job turnover fuelled by pull factors associated with the oil industry. Addressing homelessness in FM will need a multisectoral, multidisciplinary approach, and political commitment to attend to the SDOH that are exacerbating the problem. This can only be achieved by the full participation of all the different sectors involved and the people affected, the homeless.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it