Canadian Journal of Music Therapy Submission Guidelines
Bibliographic record
Abstract
Information for Authors The Canadian Journal of Music is a bilingual, peer-reviewed publication that aims to raise standards of music therapy knowledge and practice. The journal provides a written medium for the dissemination of music therapy scholarship, especially that of Canadian music therapists followed by non-Canadian music therapists and members of allied disciplines. The principal criteria for acceptance of material are originality and quality. Material submitted for publication is assumed to be submitted exclusively to CJMT/RCM and not previously published in any form unless the contrary is stated. Before acceptance, articles will be peer reviewed. All authors will be sent a transfer of copyright, which must be signed before the paper is published. The Editors retain the customary right to edit material accepted for publication. For more information see the Call for Papers and/or the Submission Guidelines link on the CAMT Web site
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 | 0.029 | 0.156 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.012 | 0.010 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.017 | 0.006 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.009 | 0.006 |
| Insufficient payload (model declined to judge) | 0.408 | 0.298 |
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".