Kritische Diversität im Kultursektor | Reflektionen aus dem Forum Fair Culture 2020–2022.
Bibliographic record
Abstract
Mit Beitritt zum UNESCO-Übereinkommen über den Schutz und die Förderung der Vielfalt kultureller Ausdrucksformen hat sich Österreich dazu verpflichtet, Rahmenbedingungen zu schaffen, in denen sich eine Vielfalt kultureller Ausdrucksformen frei entfalten kann. Die Berücksichtigung verschiedener gesellschaftlicher Gruppen in der Ausgestaltung dieser Rahmenbedingungen ist zentral. Die Reflektionen der Veranstaltungsreihe "Forum Fair Culture - Kritische Diversität im Kultursektor", die von 2020-2022 stattfand, wurden in einer Publikation zusammengefasst. Unter dem Leitsatz „Vorzugsbehandlung im (post)migrantischen Österreich neu denken", öffnete die Veranstaltungsreihe „Forum Fair Culture“ den Raum für neuen Diskurs. Die Zusammenarbeit der Österreichischen UNESCO-Kommission mit kulturen in bewegung ermöglicht einen Blick in die Praxis und eine Bestandsaufnahme der aktuellen Verhältnisse.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.002 |
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".