Bibliographic record
Abstract
Introduction M.Sell PART I: INTERSECTIONS Introduction J.Harding From Italy and Russia to France and the U.S.: 'Fascist' Futurism and Balanchine's 'American' Ballet P.Gaborik & A.Harris Confessions of a Failed Theatre Activist: Intercultural Encounters in Uganda and Rwanda L.Edmondson The Living Theatre's Arrested Development in Brazil: An Intersection of Activist Performances C.Rosenthal PART II: TRANSLATIONS Introduction J.Graham-Jones 'Powerful Disseminator of Radical Thought': Anarchism and the Introduction of Modern Western Theatre to China S.Liu Translation, Typography, and the Avant-Garde's Impossible Text S.Bay-Cheng Maoist Performatives: Milton Acorn and the Canadian Liberation Movement A.Filewod PART III: DIVERGENCES Introduction A.Filewod Avant-Garde Becomes Nationalism: Immortalizing Nam June Paik in South Korea E.Kim Lee The Avant-Garde and the Arab World M.Sell The Avant-Garde of Necessity: The Protest Theatre Movement in Zimbabwe P.Zenenga Punk Attitude: The Influence of the Avant-Garde and the Case of Ian Stuart Donaldson G.White Afterword The Avant-Garde and Vector Studies: A Roundtable Index
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 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".