Bibliographic record
Abstract
This issue of the Longwoods Review provides readers with analysis of two issues of importance in the broad continuum of health -protecting sources of drinking water and provision of service for seniors.The first paper by Robert Patrick from the University of Guelph focuses on drinking water management -a public health issue about which many Canadians are keenly aware.Based on research in British Columbia, the author describes human health impacts of past waterborne diseases in B.C. as well as the recent response from the regulators to mitigate these impacts.He further discusses the concept of source water protection, an emerging approach in drinking water management, and the critical relationship between source water protection and public health.In an accompanying commentary, Dr. Perry Kendall, medical officer of health for the province of British Columbia, provides his specific insights on public health policy and actions designed to preserve the quality of the province' s water sources.The second article is from Jamie Davenport, Tom Rathwell and Mark Rosenberg who were part of a national study of service provision to seniors.They report specifically on the results from Atlantic Canada, including where services are provided and what services are available.An important point raised by the authors is that of disparity of services between the "urban-rich" and "rural-poor."The authors conclude with a discussion of the challenges facing providers of services for seniors and how these results may be extrapolated to communities across Canada.
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.
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 | 0.004 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.293 | 0.127 |
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".