Bibliographic record
Abstract
Fight! is a live solo performance of a street fight choreographed for 11 people and performed by a single individual. Fight! uses the physical language of unarmed combat to explore the limits of communication. Fight! was first performed by Rachel Mayer in a solo exhibition at Catriona Jeffries Gallery Vancouver, 2022. It was performed weekly (alongside Speech!) over the course of the six week exhibition. Fight! was performed 3x a week by Harry Alexander in a two-person exhibition at greengrassi London 2023. Fight! was performed by Harry Alexander at Convent of St. Agnes, Prague as part of Ora et lege II at National Gallery Prague, 2024. Fight! is part of a series of three performance works entitled Speech! Fight! Smile! Links https://catrionajeffries.com/artists/janice-kerbel/works https://www.greengrassi.com/shows/janice-kerbel-2023/ https://www.theartnewspaper.com/2022/06/23/janice-kerbel-performance-catriona-jeffries Michael Newman, ‘Deliveries: Moyra Davey’s aerograms and Janice Kerbel’s performances’, Enclave Review, Issue 18, Summer 2024
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.525 | 0.023 |
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; both teacher heads agree on what is shown here.
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".