Independent artist-run centres: an empirical analysis of the Montreal non-profit visual arts field
Bibliographic record
Abstract
Canadian independent artist-run centres provide an interesting case study of the potential role and relevance of non-profit institutions in the contemporary arts field. Predominantly established during the 1970s, they have been founded by artist collectives typically operating within urban contexts, with the aim of providing new opportunities to cope with the physical, economic and cultural constraints that generally impede the professional development of artists. A remarkable urban environment in which it is possible to find, and study, a large number of such organizations is the city of Montreal, in the Quebec Province of Canada, which constitutes an excellent reference to track the onset and the evolution of independent artist-run spaces, and to understand why, how and to what extent they are currently experiencing new pressures and challenges, both on the internal and external sides. This article offers an empirical study of these organizations with reference to their organizational, managerial and strategic vision, and to co-operative interaction and network building practices. It contributes to the field of research on cultural management through its study of the effects of management systems on the strategic action of independent visual arts organizations.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.013 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".