Defining the role and reach of a geriatrician
Bibliographic record
Abstract
Population ageing is a global occurrence. Unfortunately, the shortage of health professionals with geriatric competencies is a major factor restricting high-quality care for older people worldwide. Strengthening the knowledge and skills of the health workforce to better respond to the needs of older people is a major global priority. Geriatricians can play a pivotal role in reorienting care for older people towards an integrated and person-centred care system focused on functional ability, preventive strategies, and age-friendly services. The current scenario requires efforts to be directed towards establishing a standardised competency-based definition of a geriatrician to allow for an accurate estimation of the existing workforce with adequate training in geriatrics as crucial resources to facilitate the paradigm shift. This Personal View, supported by the International Association of Gerontology and Geriatrics and the European Geriatric Medicine Society, proposes a standardised definition of a geriatrician based on expected competencies and roles and a precise description of the essential features of geriatric medicine. By reducing ambiguities and offering a competency-based framework, the current standardisation approach is expected to facilitate better support, monitoring, and allocation of resources for improving care for older people worldwide.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".