The Role of Housing and Services in Supporting Healthy Ageing-in-Place: Northern British Columbia, Canada
Bibliographic record
Abstract
Rural ageing is a common process across Northern Europe, the Scandinavian countries, and across OECD \nstates more generally. In rural Canada, this demographic process has been accelerated by the phenomena of resource frontier \nageing; the result of a combination of youth out-migration, workforce ageing-in-place, and the long-term lack of new job \ngrowth to attract young working households. In this paper, we look at the critical issue of housing in northern British \nColumbia (BC), Canada, as a vital part of healthy ageing and quality-of-life for older residents. We start with an overview of \nthe important policy shifts that have impacted housing investment, the processes which have accelerated population \nageing, and the match/mismatch of the existing housing stock with new demographic realities. The findings highlight that \nthe processes of economic upswings and downturns so common in resource-dependent rural and small town places has had \na significant impact not only on patterns of demographic change, but also on the nature of the existing housing stock and \non the capacity of that stock to meet the needs of the local population into the future. In our case study community, the \nhousing stock is generally old, larger than required by current households, and in need of repair or updating. These findings \nmirror resource region housing studies elsewhere. Updating this stock needs focus specifically upon accessibility within the \ndwelling unit for the growing demographic of older residents and on energy efficiency to reduce house operating costs for \nretired people living on low or fixed incomes. There are also unmet housing needs in terms of smaller, accessible housing for \npeople wishing to downsize and there is a lack of support services to help keep older people in their own homes longer. The \nresearch points to the need for both housing investment and revisions to public policy
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.012 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".