Bibliographic record
Abstract
The title of this editorial speaks to the aspirational goal of inclusion for proponents and practitioners of community music. Inspired by feminist care ethics, Janelize Morelli’s article connects care with love, compassion and Lee Higgins’s oft-cited concept of hospitality. Seán Doherty’s article provides a personalized insight into a composer’s struggles to reconcile conservatory-trained musical thinking with the participatory goal of promoting social inclusion for asylum seekers in Ireland. Lotte Latukefu and Irina Verenikina’s article extends the dialogue on street music by describing the informal learning efforts by the Australian organizers of HONK! Oz. The articles ‘The CI Music Hour’ and ’Exploring approaches to community music delivery by practitioners with and without additional support needs’ address inclusion more directly – the former through a study of the experiences of those with cochlear implants, the latter by interrogating the possibilities of including those with additional support needs as leaders, not just as followers. Finally, Karl Gunther’s article considers the historical practice of auditions for community choirs.
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.
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 | 0.028 | 0.245 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.009 | 0.004 |
| Bibliometrics | 0.011 | 0.007 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.037 | 0.022 |
| Open science | 0.008 | 0.026 |
| Research integrity | 0.017 | 0.013 |
| Insufficient payload (model declined to judge) | 0.358 | 0.301 |
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".