JANUARY – FEBRUARY 2005 CANADIAN JOURNAL OF PUBLIC HEALTH S55 Political Advocacy and Research Both Needed to Address Federal- Provincial Gaps in Service
Bibliographic record
Abstract
Background: First Nation residents within Personal Care Homes (PCHs) are the most vulnerable segment of First Nations society and are in need of continuing care. Recent conditions imposed through unilateral decision-making by the federal government are placing the existence and continued operations of PCHs in jeopardy. Methods: This article documents the current state of First Nation PCHs in Manitoba. In January 2003, the federal Minister of Indian and Northern Affairs Canada (INAC) announced conditions with which First Nation PCHs must comply or face closure. For instance, none of the PCHs were licensed in accordance with provincial legislation. Such provincial licensing would enable them to access provincial funding. However, provinces are wary of licensing on-reserve PCHs, and First Nations are reluctant to come under provincial health authority. First Nations continue to press for recognition of their own jurisdiction to set standards which emphasize their own culturally-based responsibilities and rights. Results: As of October 2003, on-reserve PCHs have undergone infrastructure assessments
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.008 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.143 | 0.008 |
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".