Directing, Producing, And Creating Arts In The Small City: Roundtable Discussion
Bibliographic record
Abstract
This discussion, edited and transcribed for publication, took place on Thursday, March 26, 2009, as a keynote panel of “Whose Show is it, Anyway? Community-Engaged Performance and Exhibition Arts in the Small City” a Community-University Research Alliance Conference held at Thompson Rivers University. Participants represented a variety of arts organizations and university theatre departments across Canada: James Hoffman (Thompson Rivers University), Mike Youds ( Kamloops Daily News), Derek Rein and Samantha MacDonald (Project X Theatre), Kathy Humphreys (Kamloops Symphony Orchestra), Ted Little (Concordia University), Ted Price (Theatre North West), Alan Corbishley (BC Living Arts), Annette Hurtig (Kamloops Art Gallery), Robin Whittaker (St. Thomas University), Lina de Guevara (Puente Theatre), Bruce Barber (NSCAD University), Lori Marchand (Western Canada Theatre), Erin Hoyt (Thompson Rivers University), and Ken Blackburn (Campbell River Arts Council). The panel was moderated by Dr. James Hoffman, chair of TRU’s Visual and Performing Arts Department
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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 | 0.026 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.040 | 0.013 |
| Scholarly communication | 0.016 | 0.012 |
| Open science | 0.004 | 0.016 |
| Research integrity | 0.009 | 0.016 |
| Insufficient payload (model declined to judge) | 0.033 | 0.004 |
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".