Bibliographic record
Abstract
SINK is an intimate solo of rants, dance, and chants by Keith Hennessy. SINK’s approach to current politics waivers between punk and contemplative, transformative and fucked. Loneliness, a lifejacket, a white man, a shadow dance, a long angry sad song, and love, suspended. The performance is an embodied response to the current political, economic, and social shifts that have produced not only Trump and Brexit, Erdogan and Duterte, but also the massive refugee crises all over the world, the bombing of a Sufi mosque in Sinai, the repeated killing of journalists in Mexico, increased visibility of the neo-fascist right in the US and abroad, and the mass shootings in Charleston, Parkland, and Las Vegas. Yes, it’s too much. Almost everything. SINK features poetic texts, contemplative dances, dark satire, plaintive chanting, re-processed nazi music, and an aerial dance. The performance is an intimate and confrontational portrait of the current era through the embodied perspective of a middle aged, white, gay male artist.
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 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.068 | 0.019 |
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".