WHO CLINICAL GUIDELINES ON INTEGRATED CARE FOR OLDER PEOPLE
Bibliographic record
Abstract
The added years of life being experienced so widely are one of the great achievements of the 20th Century. Ensuring they can be enjoyed in good health will be one of the biggest public health challenges of the first half of the 21st Century. It will require significant changes in the way health systems are designed, the way we deliver health care and long-term care. In 2015 WHO released the first ever World report on ageing and health and the Global Strategy and Implementation Plan on Ageing and Health that was adopted by the 2016 World Health Assembly. Both reflect a new conceptual model for Healthy Ageing that is built around the functional ability and intrinsic capacity of older people, rather than the absence of disease. While both identify strategies that can be taken by countries, they also emphasise the stark knowledge gaps that are a major barrier to global action. This Symposium brings together global experts in the area of muscle skeletal health, geriatrics and public health to discuss how the new WHO healthy ageing framework can be operationalized in clinical and primary health care settings.
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 | 0.015 | 0.042 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.010 | 0.007 |
| Insufficient payload (model declined to judge) | 0.028 | 0.019 |
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".