Reflections on the challenges of the new (online) music therapy setting for people with dementia
Bibliographic record
Abstract
Due to the Covid-19 pandemic globally enforced safety precautions were implemented resulting in increased social distancing and isolation especially among people with dementia and their caregivers. This critical situation intensified the need to reach and support this already vulnerable population. Music therapists have answered the challenge by providing telehealth music therapy. However, the new online setting raises questions and dilemmas. As music therapists who have worked for many years with people with dementia and their caregivers, we pause to reflect on the new path we took and consider what we can learn and embrace from this new modality of practice.
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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 | 0.030 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.022 |
| Scholarly communication | 0.013 | 0.022 |
| Open science | 0.004 | 0.015 |
| Research integrity | 0.019 | 0.042 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".