Bibliographic record
Abstract
At least since the introduction of talking movies some seventy years ago, Hollywood screenwriters have sometimes functioned as and often assumed the role of so-called public intellectuals. Over the past decade, familiar laments over the decline of public intellectuals and their influence have made acknowledging this legacy and its persistence increasingly noteworthy. Such an acknowledgment is likely to reveal especially provocative and culturally productive tensions because commercial movie making manufactures and markets enchantment, while the modern intellectual’s agenda, according to Max Weber, aims at disenchantment (155). “Self appointed Hollywoodologist” (“Any” 55) and intellectual aspirant Budd Schulberg has, metaphorically, echoed Weber’s formulation in maintaining that pursuing a traditional intellectual’s agenda in Hollywood entails walking a “treadmill of disenchantment” (Sanctuary 159). Antagonism between these aspirations provides the would-be Hollywood intellectual such as Schulberg with a particularly vexing and especially illuminating vantage point.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.079 | 0.030 |
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".