Bibliographic record
Abstract
Triune Arts is a non-profit organization incorporated in 1981 with a mandate to “develop a permanent ensemble of actors and directors through workshops and stage/screen productions, and thereby to develop the dramatic arts in Canada.” Since 1990, our focus has been to produce educational resources on a variety of subjects, including international development issues, youth employment training, cross-cultural communication, and, more recently, alternative dispute and conflict resolution. While our work is national in scope, Triune Arts is a local charity of Toronto-based members who discount or donate their professional services. We receive generous discounts and donations from suppliers to the film, theatre, and video industry as well as grants from the public and private sectors. Income is generated through tuition from workshops and from royalties from past film and video productions. A key feature of our educational approach is to involve those most directly concerned with an issue in the development of materials. Our constituents are the participants in our videos, the end-users of our resources—teachers, youth, facilitators, social workers, families—and the providers of expertise in terms of content. We provide the creative model and technical expertise needed to produce high quality resources. This alternative approach ensures that our programs are both educational and highly entertaining. As it heads into its 23rd year of operation, Triune Arts continues to specialize in producing film, video, multimedia, music, and theatre related projects, and developing communications skills for professionals.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.874 | 0.606 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".