Cultural Narratives in Elder Care: A Comparative Content Analysis of Canadian and Korean Nursing Home Websites
Bibliographic record
Abstract
INTRODUCTION: Nursing home websites are critical resources for older adults and their families in making care decisions. This study examines the content of Canadian and Korean nursing home websites, focusing on how these messages reflect each country's distinct values. METHODOLOGY: A content analysis of 102 Canadian and 102 Korean nursing home websites was conducted, examining message valence, regulatory focus, cultural values, target audience, and beneficiaries. RESULTS: Canadian websites emphasized positive, promotion-focused messages that highlighted individual choice, with more individualistic statements targeting residents and mentioning personal benefits. Korean websites used more negative, prevention-oriented messages that alluded to risks, collective responsibility, and family benefits. Despite these differences, both cultures showed a similar overall frequency of positive and promotion-focused messages. DISCUSSION: These findings reveal culturally congruent messaging strategies that align with each country's cultural norms, illustrating how nursing home websites use culturally specific messages to appeal to older adults and their families.
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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 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".