“I made you a small room in my heart”: how therapeutic clowns meet the needs of older adults in nursing homes
Bibliographic record
Abstract
=23) experienced therapeutic clowns from eight countries were interviewed to understand the needs of nursing home residents met by elder-clowns, and strategies and techniques the clowns use to address them. Participants identified five major needs: to escape routine; for reassurance of worth; for meaningful, personalized social interaction unrestricted by communication barriers; to have culturally meaningful opportunities for reminiscence; and to have a space where residents could be unapologetically themselves. The artistic and emotional strategies used by the therapeutic clowns to address these needs illustrate how creativity, imagination and relational presence can provide nursing home residents with a sense of being known and belonging. Elder-clowns also positively affect the nursing home staff and enrich the interpersonal interactions in the residence. Through their focus on the social and emotional needs of residents, elder-clowns can play an important and distinct role in creating an optimal nursing home experience.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".