Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The concept of North American borderlands in the cultural imagination fluctuated greatly during the Progressive Era as it was affected by similarly changing concepts of identity and geopolitical issues influenced by the Mexican Revolution and the First World War. Such shifts became especially evident in films set along the Mexican and Canadian borders as filmmakers explored how these changes simultaneously represented and influenced views of society at large.\nBorderland Films examines the intersection of North American borderlands and culture as portrayed through early twentieth-century cinema. Drawing on hundreds of films, Dominique Brégent-Heald investigates the significance of national borders; the ever-changing concepts of race, gender, and enforced boundaries; the racialized ideas of criminality that painted the borderlands as unsafe and in need of control; and the wars that showed how international conflict significantly influenced the United States’ relations with its immediate neighbors. Borderland Films provides a fresh perspective on American cinematic, cultural, and political history and on how cinema contributed to the establishment of societal narratives in the early twentieth century.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 it