Bibliographic record
Abstract
By: Rachel Bach "Every House Counts" First Nations Housing in ManitobaEnsuring that First Nations people living on-reserve have adequate, suitable housing is an ongoing challenge across Canada.Shelter is recognized as a fundamental prerequisite, or a determinant of, health (Public Health Agency of Canada [PHAC] 2004; World Health Organization [WHO] 1986).Housing is also essential to the overall well-being of individuals and communities and is a key link not only to health, but also to education, economic opportunities, and employment outcomes.Safe, affordable, permanent, and good quality housing can lead to improved socio-emotional and physical health and safety.In addition, stable housing increases the likelihood that individuals will be able to obtain and maintain jobs, gain access to required services, and develop lasting community relationships across time (Canada Mortgage and Housing Corporation [CMHC] 2004; PHAC 2004).Due to its importance for human well-being, the United Nations International Covenant on Economic, Social and Cultural Rights has included housing as a basic human right.A lot has been written about the housing crisis in Canada's First Nation communities.Adequate housing is not available in many communities, resulting in high rates of overcrowding and long waitlists.The current housing crisis is embedded within a series of complex layers.This study focuses on the crisis currently seen in Manitoba, and includes a consideration of numbers of units, conditions of units, units in need of repair, and numbers of people on wait lists for
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.268 | 0.158 |
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".