Housed and still hungry: barriers to food security for single adults with mental illness and/or problematic substance use living in supported housing on Vancouver Isalnd
Bibliographic record
Abstract
The purpose of this research is to examine the barriers to food security for single adults with mental illness and/or problematic substance use living in supported housing on Vancouver Island. The objectives are: (a) to examine the difference in the level of food security for tenants of supported housing neighbourhoods located in urban versus a rural community; (b) to examine the barriers to food access experienced by the tenants; and (c) to examine which barriers have the greatest effect on the tenants. Using an explanatory case study design, I employ a community-based research method with a social justice perspective as the framework. I have used an explanatory matrix to illustrate the tenant identified barriers to food security and the social structures that affect these barriers. As well, I have made recommendations for integrating food security services and programs into supported housing projects. I have argued that food security is a matter of public health and an integrative approach is needed. I am suggesting a shift on a larger policy scale, to promote the health and well-being of tenants in supported housing. An adequate holistic perspective with an integrated, long-term strategy linking all the determinants of health would result in health-in-all policies. This strategy could reduce the existing health inequities that the tenants in supported housing experience.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".