Exploring the Interpretation of COVID-19 Messaging on Older Adults’ Experiences of Vulnerability
Bibliographic record
Abstract
Abstract Public health messages and societal discourse during the COVID-19 pandemic have consistently indicated a higher morbidity and mortality risk for older people, particularly those with multiple health conditions. Older adults’ interpretations of pandemic messaging can shape their perceived vulnerability and behaviours. This study examined their perspectives on COVID-19 messaging. Eighteen community-dwelling older adults residing in Manitoba (Canada) participated in semi-structured telephone interviews between July and August 2020, a period of low COVID-19 cases within the province. Inductive thematic analysis was used to identify key themes that described participants’ processes of information interpretation when consuming pandemic-related messages, their emotional responses to messaging and consequent vulnerability, and the impacts of messaging on their everyday lives. Understanding how older adults have construed COVID-19 and pandemic-related messages, and the subsequent impact on their daily behaviours, is the first step towards shaping societal discourse and sets the stage for examining the pandemic’s long-term effects.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| 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".