Bibliographic record
Abstract
Elizabeth Bishop’s contact with Brazilian literature began in the 1950s and extended over a long period of fruitful dialogue with Brazilian writers. Particularly, four poets and a prose writer had important roles in Bishop’s translations and her own poetic production: Carlos Drummond de Andrade, Manuel Bandeira, Vinicius de Moraes, João Cabral de Melo Neto and Clarice Lispector. Correspondences between Bishop and Andrade include the coincidence of recreating memories of childhood and depicting Rio’s urban repertoire. Bishop’s connection with Bandeira range from her poem “To Manuel Bandeira, With a Present” to various other writings. The closest to Bishop, Moraes is present in translation and memories of Ouro Preto. Melo Neto’s and Lispector’s resonances in Bishop’s poetry are respectively visible in “The Burglar of Babylon” and “Brazil, January 1, 1502.” In a discussion that includes epistolary texts, translations, and poetry, this chapter offers a contextual reading of Bishop’s relation with these writers.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.053 | 0.012 |
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".