A Study of Elena Poniatowska's Amanecer en el Zócalo: The Contemporary Mexican Crónica in Translation
Bibliographic record
Abstract
This dissertation addresses the challenges of translating the Contemporary Mexican crónica from Spanish into English. The crónica, being a type of nonfiction literature and possessing unique features particularly with regards to its ability to be read like a novel, presents distinctive challenges in translation. This dissertation looks closely at the particularities of translating Elena Poniatowskaâs Amanecer en el Zócalo (Mexico: Planeta, 2007), a crónica based on the 2006 federal election in Mexico and the subsequent civil resistance movement inspired by the outcome. \nThis dissertation addresses questions surrounding the translation of the crónica: What challenges are unique in translating this genre and why? Why are there so few crónicas translated into English? What decisions can the translator make in order to resolve these particular difficulties?\nIn order to attempt to answer these questions, I first looked into the genre of the crónica and attempted to situate it within the Mexican system of literature and culture. The result found was that, based on some recent theories of systems in culture and translation, the crónica, as a genre of literature that always seeks to address current issues in society and foster positive social development, is in itself a vehicle for social change. I then looked at other crónicas that have been translated into English and compared other translatorsâ decisions to the ones I madeâor have yet to makeâwithin my own translation of Poniatowskaâs text. Finally, in observing the ways in which the translator of the crónica tends to alter the genre of the text in translation, I showed how the text, in English, loses some of the defining characteristics of the crónica and serves a different purpose in the target cultureâit educates the reader on past (and present) social issues in other cultures, and it appeals to a different type of audience in the target cultureâit attracts readers interested in studying another culture rather than readers who feel an intimate connection with the crónicaâs context.
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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) | 0.001 | 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".