Evolution of the Greater Manchester Nutrition + Hydration Programme
Bibliographic record
Abstract
Older adults in the community are at risk of malnutrition and dehydration. The present article aims to outline an intervention and a population-health approach to raise awareness of the importance of good nutrition and hydration in later life. This was addressed by developing strong partnership working, governance frameworks and local steering committees. Through the Greater Manchester Nutrition and Hydration Programme, 39 500 older people have been asked about appetite and weight loss and/or used the PaperWeight Armband to date. A total of 5586 people from this population were found to be at risk of malnutrition. All were provided resources, advice and signposting to address this issue. The gross fiscal return on investment over a 5-year period was 3.2-fold and the net present budget impact was £800 000. The long-term cashable fiscal return on investment was estimated at 2.69. This very promising approach has potential to enable older adults to extend their healthy life span and deliver cost savings to the health and care system.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".