Health awareness as genre: the exigence of preparedness in cancer awareness campaigns and critical-illness insurance marketing
Bibliographic record
Abstract
Dominant understandings of genre-as-form have limited our abilities to perceive health awareness: we recognise, and expect, health awareness campaigns from governmental and non-profit agencies. Inversely, we often fail to recognise, or name, health awareness as such when it comes from other sources, such as commercial marketing or advertisements for products. However, rhetorical genre theory centres attention on action brought about by form and, as such, rhetorical genre provides tools for recognising instances of health awareness often escape our notice. One such example is critical-illness insurance marketing. In this article, I argue that critical-illness insurance marketing draws on the same appeals found in cancer awareness campaigns. Through a comparative analysis, I show that Colorectal Cancer Canada and critical-illness insurance marketing represent unpreparedness, rather than cancer, as the exigence, or the problem to be overcome through public discourse, and as such, share a genre of what I call 'health awareness as preparedness'.
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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 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.008 | 0.034 |
| Scholarly communication | 0.015 | 0.015 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".