Eating and ageing: A comparison over time of Italy, Ireland, the United Kingdom and France
Bibliographic record
Abstract
This research analysed household budget survey data from Ireland, the United Kingdom, France and Italy from 1985/1987 to 2004/2005 to determine how age groups differ in terms of food-related practices, how these patterns are changing and to see if these patterns differ across countries. Descriptive analysis and fractional multinomial logistic regression were used. Food practices seem to be changing over time across all age cohorts in Ireland and the United Kingdom; older people have different food practices now than they would have had a few decades ago. However, in Italy and France, food-related practices seem to be related to age and life course with older people eating out less as they age than they did when they were younger. If these trends continue, older people will continue to prepare their own meals to a greater extent in Italy and France in the future with the retention of home preparation skills, while the home preparation of food will continue to decline in Ireland and the United Kingdom. These trends have implications for the health and well-being of older people in those countries.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".