The Helen Carswell Chair in Community Engaged Research in the Arts: Call for Proposals – 2024
Bibliographic record
Abstract
The Helen Carswell Chair in Community Engaged Research in the Arts welcomes the submission of research proposals that can inform the practice, programming, or curricula of a community music school. In a continued partnership between York University and Community Music Schools of Toronto at Jane Finch (expanding from the Regent Park School of Music), we support special projects aimed at researching and bolstering community arts in the Jane and Finch neighbourhood and beyond.\n\nAll faculty and graduate students from any department at York University are encouraged to apply. We welcome interdisciplinary research and cross-disciplinary collaborations. A background in music is not required to apply.\n\nThe award provides financial funding of up to $20,000. The deadline for submissions is July 2, 2024.
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 | 0.038 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.015 | 0.011 |
| Open science | 0.004 | 0.016 |
| Research integrity | 0.023 | 0.015 |
| Insufficient payload (model declined to judge) | 0.265 | 0.185 |
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".