Bibliographic record
Abstract
THE BURGEONING interest in biography, within both popular culture and the academy, combines with the idea of film as a kind of literature to create a new body of texts which warrant study. At issue is the efficacy of film as a medium for telling literary lives, as opposed to other, more public, lives. The literary biopic may be ultimately unsatisfying because the time constraints of film make it inadequate to the demands of thoroughness a literary biography makes. Political lives, or public lives of any kind, lend themselves more easily to a medium which is so public and episodic in its nature but print is an intimate medium. Years of experiences, knowledge, and maturation, which a writer compresses into an art with a built-in slowness to it, perhaps cannot be developed with any fullness through filmable episodes skimmed from the life. As Jack Kerouac said, "Walking on water...
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.
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 | 0.027 | 0.062 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.013 | 0.101 |
| Scholarly communication | 0.018 | 0.030 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.010 | 0.022 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".