Bibliographic record
Abstract
In response to serious concerns about the health care provided to older people in Scotland the Scottish expert group on healthcare of older people, led by the chief medical officer, Dr E M Armstrong, has released an insightful report entitled Adding Life to Years .1 The charge of the group was to describe the major health problems that older people confront, explain their journey through the healthcare system, investigate potential ageism, and promote good practices. The articulate and comprehensive report identifies a series of themes. Four of these are outlined below. Specifically, the report promotes individual responsibility for health, advocates for primary care, identifies the benefits of multidisciplinary teams in the care of elderly people, and discourages ageism. As indicated by the supporting literature, these themes have international relevance. An older adult consulted for the report said: “A doctor can do only so much. We oldies must realise we are responsible for our own health.” Adding Life to Years is to be commended for promoting individual responsibility in health care. Encouraging older adults to be physically and mentally active and to reduce poor health habits is an important theme of …
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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 | 0.009 | 0.030 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.019 | 0.022 |
| Insufficient payload (model declined to judge) | 0.017 | 0.012 |
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".