The Tourism of Titillation in Tijuana and Niagara Falls: Cross-Border Tourism and Hollywood Films between 1896 and 1960
Bibliographic record
Abstract
In the popular imaginary, Tijuana, Mexico is notorious for its liberal laws concerning prostitution, gambling, and narcotics. Conversely, Niagara Falls, Canada apparently offers visitors only wholesome attractions. Yet this sweeping generalization belies the historic parallels that exist between these iconic border towns. In Hollywood films, both Tijuana and Niagara Falls figure as liminal locations of crossing and collision, as well as permissive zones defined by sex, tourism, and consumption. This essay explores the intertwined cultural arenas of film and tourism by analyzing cinematic representations of Tijuana and Niagara Falls as cross-border tourist destinations. By examining how cinematic representations of these urbanized border regions have changed over time, I demonstrate how Hollywood, as a hegemonic culture industry, responded to the United States’ evolving relationships with its northern and southern neighbors. This study offers a hemispheric and comparative approach to the study of urban borders, tourism, and visual culture.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".