El bildungsroman en el Caribe hispano
Bibliographic record
Abstract
This dissertation examines the bildungsroman genre in Cuba, Puerto Rico, and the Dominican Republic. A close examination of the development of this genre demonstrates that it has ideological implications that link the young protagonists’ development with that of the nation. The authors on whom I focus—Ángela Hernández, Rita Indiana Hernández, René Marqués, Pedro Juan Soto, Magali García Ramis, Severo Sarduy, and Jesús Díaz—do not merely imitate the European model but revise, adapt, and often subvert it thematically and, in some cases, aesthetically. I argue that these bildungsromane differ, for the most part, from the European prototype due to their openly political themes, such as the establishment of the Estado Libre Asociado in Puerto Rico, the 1959 Revolution in Cuba, and, in the case of the Dominican Republic, Trujillo’s dictatorship. I claim that Dominican bildungsromane do not propose national projects or models but rather question the purported homogeneity of identity of the country as a normalized political body. On the other hand, in Cuba and Puerto Rico the genre has been used to promote absolute discourses of nationality as well as political projects that must be questioned due to their discriminatory and sometimes racist and violent nature.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".