Censoring poetics through translation: the filtered reception of Sylvia Plath in Franco’s Spain
Bibliographic record
Abstract
Inthis article I analyze Sylvia Plath’s reception in Spain during the Francoist dictatorship. Considering the feminist features that the author and her oeuvrepresent, I examine the conclusions drawn by the Censorship Board when the Spanish publishing houses requested to issue Plath’s works in translation. The censorship and import files stored at the General Archive of the Administrationin Madrid confirm thatseveral publishers repeatedly applied for permission to translate her only novel, The Bell Jar, into Spanish and Catalan from 1967 to 1982; a Spanish compilation of her poems in 1974; and to import her famous poetry collection, Ariel,in 1968. Nevertheless, the censors’ notes and verdicts reveal that her literary depth was neither admired nor understood by the ones who authorized, censored, or rejected the different editions of her work.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".