Bibliographic record
Abstract
SINGAPORE INTERNATIONAL FILM FESTIVAL 2001: CROUCHING TYRANTS, HIDDEN TALENTS For a young island-state that once saw a "golden age of cinema" in the 50s and 60s, it was bittersweet to witness, after a score of idle years, a rise in the number of local film productions in the 1990s. But where local movies of the past triumphed in forging an indigenous film culture, recent Singaporean films have all but ignored the significance of maintaining such an objective. History, in this instance, has indeed repeated itself. Just as the thriving industry that had once characterised the "golden age" succumbed to the escalating popularity of Hong Kong and Taiwanese films in the 60s and 70s, the haphazard accomplishments of Singaporean films this past decade look set to remain in subordination to a longer-standing nemesis: that of Hollywood's domination. The consequence of this status quo has only served to highlight the problematic use...
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.581 | 0.474 |
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".