Feminist Music Therapists in North America: Their Lives and Their Practices
Bibliographic record
Abstract
This survey study investigated the lives and practices of those in North America who self-identify as feminist music therapists. Earlier reports from this survey studied: 1) the experiences of music therapists, with a comparison of men, women, and their 1990 counterparts (Curtis, 2013d); 2) the experiences of music therapists who self-identify as community music therapists (Curtis, 2015); and 3) the experiences of music therapists in Canada as they compare with their U.S. counterparts (Curtis, in press, a). This current and final report explored the experiences of those in Canada and the United States who self-identify as feminist music therapists (50 from the 682 respondents). Areas of similarities and differences were noted between feminist music therapy respondents, Community Music Therapy respondents, and survey respondents as a whole. Similarities existed in terms of: age; gender (predominantly female) and ethnicity makeup (predominantly Caucasian); career satisfaction; and degree and nature of concerns in their lives. Differences existed in that: 1) greater numbers of feminist music therapy respondents worked in academic settings and had higher levels of education; 2) more feminist music therapists felt there was an impact of sex discrimination in peoples’ lives than did the community music therapists, or survey respondents as a whole (98%, 68.5%, and 67% respectively); 3) more feminist music therapy respondents held concerns about discrimination across many other intersections such as race/ethnicity and sexual orientation (98%, 74%, and 76% respectively); and 4) significantly more in Canada self-identified as feminist music therapists than did their U.S. counterparts. Qualitative analysis of respondents’ thoughts on feminist music therapy identified the following themes: being a feminist, belief and orientation, and working for empowerment and equality. The potential contribution that feminist music therapy offers the music therapy profession as a whole was highlighted in terms of its understanding of the impact of multiple sources of marginalization and privilege. This potential contribution could be enhanced through future research into the profiles of feminist music therapists living in other parts of the world.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".