Bibliographic record
Abstract
This dissertation examines depictions of travel and tourism in contemporary Dominican literature and film to draw out the sociopolitical and environmental critiques they exhibit. I survey a range of works in different genres, among them novels by Rita Indiana, Aurora Arias, and Elizabeth Acevedo, and films by Laura Amelia Guzmán, Israel Cárdenas and José María Cabral. The main thematic concerns of my dissertation relate to globalization, racial capitalism, economic marginalization, transnational identity and mobility. Employing a cultural, literary, and film studies methodology, my analysis draws from theories in Caribbean studies, gender/sexuality studies, and environmental humanities. This interdisciplinary approach allows me to analyze the modes of representation the writers and filmmakers employ and consider the aesthetic dimensions of each work, while also disambiguating the histories in which these works are set. I contextualize key moments in twentieth and twenty-first century Dominican history from the Trujillo dictatorship (1930-1961), the civil war (1965), the country’s second US military occupation (1965), the simultaneous mass migration and tourism boom of the 1980s, as well as the 2003 economic crisis. Moreover, the foundational neoliberal policies implemented by Joaquín Balaguer’s authoritarian government (1966-1978, 1986-1996)–which subsequent governments expanded on–are crucial to the development of the tourism and sex tourism industries the texts I study depict. Ultimately, I highlight how literature and film help reveal the impacts of these issues in both the Dominican Republic and the greater Caribbean region by being particularly attuned to the affective, intimate, and private spheres.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".