The moralization of healthy living: Burke’s rhetoric of rebirth and older adults’ accounts of healthy eating
Bibliographic record
Abstract
This article develops a rhetorical analysis of how older adults in Canada and the UK engage with civic-moral imperatives of healthy living. The analysis draws on Burke's concepts of 'symbolic hierarchies' and the 'rhetoric of rebirth' to explore how participants discursively negotiate the moralizing framework of self-regulation and self-improvement central to healthy eating discourse, in particular. Working from the premise that healthy eating is a 'principle of perfection' that citizens are encouraged to strive to achieve, the article traces the vocabularies and logical distinctions of 'guilt', 'purification' and 'redemption' in participants' accounts of what healthy eating means to them. This analysis reveals some of the complex, situated and often strategic ways in which they rearticulate and reconfigure the normative imperatives of healthy eating in ways suited to their lived experience and their priorities for health and well-being in older age.
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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 | 0.011 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.020 | 0.066 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".