Bibliographic record
Abstract
Gregory P. Marchildon and Renee Torgerson. Nunavut: A Health System Profile. Montreal: McGill-Queen's University Press, 2013. [ISBN: 9780773541481] Based on extensive research, including visits to most health centres and facilities in Nunavut, Gregory P. Marchildon and Renee Torgerson have produced a comprehensive review of healthcare in Canada's newest territory. Nunavut: A Health System Profile provides an in-depth examination of population health and healthcare in the territory. Little more than a decade old, Nunavut has a population that consists of 30,000 residents living in 25 widely dispersed communities. No roads connect the territory's isolated populations and nearly all supplies and equipment are transported by air. Consequently, health service delivery in Nunavut is the costliest in Canada and its operation encounters challenges more extreme than those faced elsewhere. Marchildon and Torgerson consider the historical and demographic context of healthcare in Nunavut, as well as the finances, governance, infrastructure, workforce and programme provisions that define the system. Due to a high incidence of suicide and the psychological upheaval associated with rapid societal change, the authors call particular attention to the treatment of mental health and addictions. Filling a gap in our understanding of one of Canada's most important and expensive social policies, Nunavut: A Health System Profile provides the first comprehensive review of the health system in Nunavut and the distinct health issues the territory faces. Order at: http://www.mqup.ca/nunavut-products-9780773541474.php?page_id=73&#!prettyPhoto
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 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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".