The greying of resource communities in northern British Columbia: implications for health care delivery in already‐underserviced communities
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
The delivery of ‘rural’ health care services has long confronted the geographic problems of distance, low user densities, low‐order facilities and caregiver shortages. As a result, rural and remote communities across Canada have struggled with health care delivery. For rural and remote communities in resource hinterlands, population ageing driven by industrial restructuring presents a significant departure from past experience. Drawing on examples from northern British Columbia (BC), this paper examines this context of ageing in rural and remote locations with the purpose of highlighting impending challenges for health care service provision. In the first part of this paper, we provide a demographic overview of population change and ageing in northern BC. In the second part, we present data on the availability of services throughout the region to support seniors who age‐in‐place. Population ageing, in areas that have never dealt with this issue before, highlights not only important servicing questions but also important policy questions about how to provide for needs that the policy and community context are not presently equipped to meet.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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