Bibliographic record
Abstract
In her art essay, ‘Memories from Yonder,’ American-born artist Christie Neptune mines childhood memories of her mother, a Guyanese immigrant in New York, and her love of crocheting—a craft popular among Guyanese women (as we also see in Mattai’s essay) and passed down through generations. For Neptune, the art of crocheting becomes a metaphor for the necessary acts of unfurling a life in a past land to construct a new life in a new land. Neptune unpacks her artistic process in making her multi-media installation. She portrays Ebora Calder, a fellow Guyanese immigrant and elder. Like the artist’s mother, Ebora migrated to New York in the late 1950s and represents a generation of Guyanese women who in the past sixty years have been part of the mass migration from Guyana to New York City. In the installation, Neptune features a diptych of Ebora that has been distorted and obscured as well as a pixelated short video. In both photograph and video, Calder can be seen quietly engrossed in the slow, methodical, rhythmic act of crocheting a red bundle of yarn. ‘The gesture serves as a symbolic weaving of the two cultural spheres,’ writes Neptune, ‘to reconcile the surmounting pressures of maintaining tradition whilst immersed in an Americanized culture.’
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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".