Organising a Latin-American anthology in translation under the auspices of the US State Department in the 1940s: Translators and editor’s correspondence
Bibliographic record
Abstract
Angel Flores, a Puerto Rican literary critic and translator, and Dudley Poore, a North American poet and translator, worked together to compile literary texts from Latin-American countries for the anthology Fiesta in November, published by Houghton Mifflin in 1942. It was part of a translation project subsidised by the US State Department through the Office of the Coordinator of Inter-American Affairs (OCIAA). This article aims to unravel and analyse the process underlying the organisation of Fiesta in November by examining OCIAA documents and Dudley Poore’s unpublished correspondence and by looking into themes such as patronage, manipulation, censorship and policies. It ‘listens’ to the editor’s and translators’ voices to demonstrate the multifaceted practices of an editor and a group of translators, which, in the end, converged and shaped Latin American texts for a US audience under the auspices of the State Department in the 1940s.
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 | 0.020 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".