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
Issue 18:2 of the International Journal of Community Music ( IJCM ) includes a literature review of ‘trauma-informed practices’ (Hansen), five research studies (Moufarrej; Fraser; Odena, Mateos-Moreno and Salinas-Maceda; Martin; Pitupumnak and Saibunmi) and book review (Kinnunen) of Dave Camlin’s (2023) recent book, Music Making and Civic Imagination: A Holistic Philosophy . Martin studied a music workshop, ‘Togetherness through music: Uniting Indigenous and non-Indigenous Australia’, aimed at conflict transformation. It is a classic example of a one-off interventionist workshop model. Three of the articles (Fraser; Moufarrej; Odena, Mateos-Moreno and Salinas-Maceda) can be considered as case studies of the ongoing intervention-based work of specific organizations (Common Wheel in Glasgow, the Fayha Choir and Sounds of Change in Syria and EnseñARTE in Cochabamba). Pitupumnak and Saibunmi’s study of the Intergenerational Choir Project at Chiang Mai University also represents an intervention, but of a university–community partnership rather than an NGO or charity-based organization. Community music examples examined by the researchers include choir programming in Syrian refugee camps (Moufarrej), intergenerational choirs in Thailand (Pitupumnak and Saibunmi), a youth empowerment music programme for impoverished youth in Bolivia (Odena, Mateos-Moreno and Salinas-Maceda), a settler–First Nations conflict transformation project in Australia (Martin) and a programme in Scotland for people with mental health issues (Fraser).
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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