Concerts in Care Ontario: Evaluation of Performances, May-June 2021
Bibliographic record
Abstract
Background: Concerts in Care Ontario (CiCO) is a non-profit organization dedicated to providing older adults with access to musical performances. During COVID-19, CiCO has transitioned to an online delivery of their programming, using Zoom to reach older adults living independently and in congregate care settings. This project explores the potential benefits of virtual CiCO performances for older adults and their care partners, with a focus on specific pandemic-related concerns for the older adult population, including mood and social connection.\nMethod: Data were collected in a variety of ways: 1) through observation of CiCO performances (n = 13), 2) a questionnaire (n = 59 senior participants and n = 3 staff), and 3) interviews and standardized evaluation forms from staff (n = 6).\nResults: Satisfaction with the performances was very high, with 100% of participants reporting benefits for their well-being. Participants indicated feeling more relaxed and connected, and that they appreciated the educational/learning aspect of the performance structure. Participants were observed to react in positive ways to the performances, including outward displays of appreciation for and curiosity with the music, performers, and instruments. Staff indicated that the performances were extremely positive for the older adults in their care and had a secondary benefit for the well-being of staff within the congregate care settings.\nConclusions: Virtual delivery of Concerts in Care Ontario programming was very successful, with both the older adults and the staff who attended (via Zoom) the concerts responding positively to the experience. Future exploration of a hybrid model of performance delivery post the COVID-19 pandemic may help even more Ontario older adults access the healing power of music.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".