Assessing impact on quality of life from “Unmasked Connections”: delivering personalized intimate arts performances to people in long-term care
Bibliographic record
Abstract
BACKGROUND: Radical Connections' program "Unmasked Connections" provides virtual personalized and interactive arts performances to residents living in long-term care (LTC). This project assessed its impact on the quality of life (QoL) of residents, artists and staff. METHODS: Residents were paired with artists based on shared artistic interests for 40-minute virtual one-on-one sessions. Semi-structured interviews on QoL with 14 participants were transcribed, coded and analyzed using the Framework Method of analysis. RESULTS: Five artists, six residents, a recreation technician and two summer students participated in the interviews. The themes developed included 1) Happiness, Health and Gratitude; 2) Deep and Meaningful Connections; 3) Reminiscence and Nostalgia; and 4) Features of Delivery are Important. Artists expressed compassion and gratitude for the program and staff highlighted residents' excitement. Most participants recommended to others or wished to continue with "Unmasked Connections". CONCLUSIONS: "Unmasked Connections" fostered meaningful interactions, improved emotional health and highlighted the important role of arts in healthcare.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".