Is It Time to Implement a Value-for-Money Approach in Healthcare of the Elderly?
Bibliographic record
Abstract
This commentary addresses several issues raised by Chappell and Hollander in their review of policy issues that should be addressed to improve care for the elderly in Canada. First, the author takes some issue with the suggestion that the continuing care system needs to be re-validated. The data seem to indicate that the issue is not re-validation of the system but, rather, operational reform of the current system. Thus, the recommendation to focus on improving integrated care for seniors, which is a process measure, is a very timely one. Then the author raises the question of recommending a value-for-money approach to care of the elderly. Although fraught with problems and a lack of data, increasing numbers of researchers and others are suggesting that there is a need to question how we are spending scarce resources. A value-for-money policy would contribute evidence about the most effective use of services for older people.
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 | 0.022 | 0.094 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.104 | 0.077 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".