Connecting through music: A systematic review of the use of music to reduce loneliness during the COVID-19 pandemic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Social interactions were limited due to COVID-19 restrictions resulting in a high prevalence of loneliness and social isolation. The purpose of this systematic review is to investigate the impact of engaging in music on the experience of loneliness during the COVID-19 pandemic. We included nine articles with a total of 16,176 participants, all of which reported upon the impact of musical engagement in the form of music listening or music-related activities on loneliness. The average age of participants was 43 ± 15 years, and 37% were male. Eight studies (88.9%) reported that music engagement reduced loneliness. This systematic review demonstrates that music may have had a beneficial impact on loneliness during the COVID-19 pandemic. Our findings suggest that the use of music is an accessible method to cope with feelings of loneliness and improve overall wellbeing during times of social isolation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it