Bringing Healthcare Closer to Home: One Province's Approach to Home Care
Bibliographic record
Abstract
Ontario is implementing a number of steps to address the growing need for home care and continuing care. One of these steps is the establishment of Ontario's network of 43 Community Care Access Centres (CCACs). Responsible for aiding Ontario residents who seek community-based long-term healthcare, CCACs coordinate access to home services such as nursing and homemaking, manage placement to long-term care facilities and provide information and referral services. In 2000/01 the Ontario government announced 92.5 million Canadian dollars in new funding for long-term community services. This new funding includes 70.1 million Canadian dollars for CCACs. During this time, the provincial government will spend more than 1.6 billion Canadian dollars for long-term-care community-based services. Of this amount, 1.1 Canadian dollars billion will go to CCACs. Community Care Access Centres served more than 400,000 people in 1998/99 and are estimated to serve more than 420,000 in 2000/01. The administrative funds saved by this province-wide system are reinvested in front-line health services.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.008 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.028 | 0.032 |
| Insufficient payload (model declined to judge) | 0.006 | 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".