Bibliographic record
Abstract
As an ekphrastic writer, Natasha Trethewey (who won a Pulitzer Prize for Native Guard and is the current Poet Laureate of the U.S. in 2012) is superior. Whether drawing with artfully chosen words arranged in “elegant envelopes” of form to present Bellocq’s photographs of the madams of New Orlean’s Storyville district, to perform a reenactment of a famous portrait of the twentieth-century southern Fugitive poets, or to dissect the taxonomies of the eighteenth century Mexican Casta paintings, Trethewey paints her own clear pictures for her readers and then transitions smoothly into the abstract conundrums of race, gender, and colonialism of the past and present. This article presents both the visual catalysts of Trethewey’s poetry and the poetic results. In Belloq’s Ophelia (2002), Native Guard (2006) and Thrall (2012), Trethewey creates a triptych of her personal story painted onto the canvas of America’s public history. She is the daughter of a white Canadian father who is a poet and an African American mother from Mississippi who is murdered by Trethewey’s step-father. The books as a whole are greater than the sum of their individual poems as they reveal the history that has been erased, ignored, or forgotten. Each public history, once examined, reveals itself to be a palimpsest.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".