Sorry It Has Taken So Long: Continuing Feminist Dialogues in Music Therapy
Bibliographic record
Abstract
The impact of feminism – along with its understanding of the complex interactions in our lives of gender, race, class, sexual orientation, ability, and age – arrived late in music therapy. This paper reviews what feminist impact exists, explores possible challenges faced, and identifies the most recent endeavors in the area including the first International Conference on Gender, Health, and the Creative Arts Therapies and a gathering of feminist music therapy researchers, both hosted in Montreal, Canada in 2012. These issues will be explored further in the forthcoming special issue of the Arts in Psychotherapy dedicated to Gender, Health, and the Creative Arts Therapies edited by Dr. Sandra Curtis, with contributions from many significant experts in the field. Members of the music therapy community are encouraged to examine the meaning of feminism and gender in their own context and to join in the important dialogue on gender in music therapy which holds great potential to enrich our theory, practice, and research.
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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 | 0.043 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.036 | 0.080 |
| Scholarly communication | 0.024 | 0.024 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.013 | 0.019 |
| Insufficient payload (model declined to judge) | 0.006 | 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".