Bibliographic record
Abstract
This paper analyzes the visual and narrative representation of the US-Mexico border in the National Geographic television show Border Wars. The show is significant because it brings the hidden and often opaque borderlands into the homes of millions of Americans, and viewers around the world, every week. It transforms the unknown space of the border into a series of images and stories that create a coherent narrative for the viewer. The representation of the border emphasizes threat and danger through the constant repetition of particular phrases (terrorism, war, cartel foot soldiers) and images (guns, high-speed chases, Black Hawk helicopters, Predator drones). Despite the militaristic lead-ins to each episode, the dramatic music, and the heightened drama of the storytelling, in the end most of the episodes present a more prosaic border landscape of poor migrant workers looking for a better life. This disjuncture between the official narrative of the border and the images of what happens in the show provide a crucial insight into the role popular geopolitical narratives play in creating a version of reality and convincing the public that the ‘problem’ of the border needs a securitized and militarized response.
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".