Using Written Vignettes in Focus Groups Among Older Adults to Discuss Oral Health as a Sensitive Topic
Bibliographic record
Abstract
When the mouth yields pain and distress, it can impact psychosocially the lives of older adults and might constitute a sensitive topic for open disclosure. In this article, we describe our use of a written vignette in focus groups for discussion of oral health and disablement. Six focus groups were conducted with 42 older men and women with an average age of 75 years who were purposefully selected through advertisements posted in community centers and retirement homes. In discussions lasting for an average of 90 min, groups of up to 9 participants commented positively and negatively on the vignette's story and voluntarily discussed their personal experiences, family histories, and testimonies about the mouth and coping and adapting strategies to disabilities. The discussion about oral health can be sensitive, but the vignette shifted the focus away from the participants and allowed them to share personal experiences with oral health and disablement.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".