Early COVID-19 Public Messaging and its Impact on Older Adult Demonstrations of Personal Agency
Bibliographic record
Abstract
BACKGROUND: Exposure to COVID-19 messaging that conflates older age with risk/infirmity has been suggested to have negative effects on older people's sense of personal agency (i.e., sense of capacity to exercise control over one's life). OBJECTIVES: This qualitative study sought to determine how older adults perceived this vulnerability narrative within early COVID-19 public messaging and how this may have influenced their personal agency. METHODS: Semi-structured interviews with 15 community-dwelling older adults in Manitoba were completed and analysed using inductive thematic analysis. FINDINGS: Study findings suggest that early COVID-19 public health messaging created associations between vulnerability and older age that increased the participants' sense of age-related risk. As a response, many participants described engaging in certain actions (e.g., lifestyle behaviours, following public health protocols, coping mechanisms) to potentially increase their feelings of personal agency. DISCUSSION: This study suggests that creators of public messaging pertaining to older age must be mindful of the ways that it may fuel a vulnerability narrative.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".