Bibliographic record
Abstract
By emphasizing contextualization between the film industry and government cultural policies in association with FTAs, this article historically examines the set of social relations and the interplay of power between the US and other countries (mainly non-western), as well as between the commercial interests of Hollywood and the critical political ideology of domestic film industries. It analyses whether the US, supported and lobbied by Hollywood, has hampered cultural diversity and sovereignty in other countries, particularly through the use of FTAs in the midst of neoliberal globalization. The article maps out how the US government has intensified its state power in the global cultural market. It articulates the consequences of FTAs in the realm of culture in several countries in order to determine the crucial influence of FTAs on domestic film and cultural markets. It is not an easy task to establish an exact correlation between FTAs and the deleterious consequences of signing FTAs for domestic film industries, therefore, the article discusses the more general, causal relationship between FTAs and consequences in domestic film industries.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.017 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".