Exploring the Connections between Employment and the Housing Crisis in Cambridge Bay, Nunavut
Bibliographic record
Abstract
This article examines the role of housing with respect to goals of increasing Inuit employment. This is part of a larger project that used institutional ethnography to interview service providers and community members in Cambridge Bay, Nunavut to understand how their experiences of the housing crisis are coordinated by the institutional features of bureaucratic systems in Nunavut. The research confirms significant correlations between housing and employment. Local Inuit skilled workers must consider moving out of Cambridge Bay due to the lack of affordable housing. The housing crisis is also affected by the employment context, as local labor shortages contribute to challenges in building and maintaining homes in the community. Staff housing is one solution used by employers to incentivize the hiring and retaining of local skilled workers in Nunavut and support Inuit participation in the labor force. However, other solutions are needed, as workers living in staff housing risk losing their home if their employment is terminated, leaving them in a legally precarious position. To sustainably support Inuit employment, the housing crisis must be dealt with in a holistic manner, addressing all types of housing.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".