Community-Driven Ethics in Sectoral Self-Governance: Overview of the Independent Media Arts Alliance’s <i>Online Presentation Standards</i>
Bibliographic record
Abstract
Background: The Online Presentation Standards (OPS), a project of the Independent Media Arts Alliance (IMAA), was initiated as a direct response to the migration online of the presentation activities of media arts organizations in the context of the COVID-19 pandemic. Analysis: The OPS was a community-driven and participatory research project that addressed gaps in self-governance in the independent media arts sector with regard to digital presentation models. In this article, the methods and outputs of OPS are analyzed as components of a responsive and inclusive model for developing a sectoral digital policy that is guided by an ethics of care. Conclusion and implications: The article develops a case study of a sectoral self-governance initiative that took an intersectional and inclusive approach to developing a digital policy rooted in a community-driven ethics of care. The structural vulnerabilities of the Canadian independent media arts community complicate the implementation of value-driven policies that seek to remedy systemic inequities in the sector.
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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 | 0.034 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.012 | 0.082 |
| Scholarly communication | 0.021 | 0.009 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".