Bibliographic record
Abstract
Since its spring 2013 North American release Margarethe von Trotta's film Hannah Arendt has garnered almost universal praise for its “extraordinary depth”; its“mesmerizing” and “suspenseful portrait” of a deep and daring thinker; its especially compelling and successful effort to make ideas entertaining as well as “sexy”(Sheri Linden, “A Persuasive Force to ‘Hannah Arendt,’” Los Angeles Times, June 7, 2013; Marsha McCreadie, “Hannah Arendt Brought to Life by a Mesmerizing Barbara Sukowa,” Village Voice, May 31, 2013; Marc Mohan, “‘Hannah Arendt’ Review: Talking, Typing, Smoking,” Oregonian, June 28, 2013; Deborah Young, “Hannah Arendt: Toronto Review,” Hollywood Reporter, Sept. 9, 2012). Even those film critics unwilling to go so far as “sexy”—those who find the dialogue stilted or the depiction of mid-twentieth-century New York literary life overly theatrical—generously acknowledge the monumental task von Trotta set for herself: showing audiences what the work of “thinking,” that all-important practice for Hannah Arendt, looked...
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".