Bibliographic record
Abstract
This is a curatorial essay in which the author explains his research and process for the conception and production of everything slackens in a wreck, a visual arts exhibition running at the Ford Foundation Gallery in New York from June to September 2022. Gosine elaborates his thinking about the title of the exhibition, which is taken from a Khal Torabully poem, and explains the relevance of and his intrigue with the four artists whose works comprise the exhibition: Wendy Nanan (Trinidad and Tobago), Margaret Chen (Jamaica/Canada), Andrea Chung (Jamaica/United States), and Kelly Sinnapah Mary (Guadeloupe). Each of the four women is a descendant of indentured workers who traveled to the Caribbean in the late nineteenth and early twentieth centuries, and for each this history is a reference point in her practice. Gosine proposes a consideration of the Americas as a consequence of three wreckages: the ship landings of European colonizers and the arriving ships of enslaved and, later, indentured peoples.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".