Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction Mary Ann FRESE WITT and Eric WITT: Retrying The Stranger Again Susan AYRES: The Silent Voices of the Law Karen C. BLANSFIELD: Law and Order: Exploring the British Legal System in David Hare's Murmuring Judges Jenifer CUSHMAN: Criminal Apprehensions: Prague Minorities and The Habsburg Legal System in Jaroslav Hasek's The Good Soldier Svejk and Franz Kafka's The Trial Gwen McNEILL ASHBURN: Silence in the Courtroom: Language, Literature, and Law in The Ballad of Frankie Silver Deborah HECHT: Representing Lawyers: Edith Wharton's Portrayal of Lawyers and Lawyering In The Touchstone and Summer Eric STERLING: Ritual Murder and the Corruption of Law in Bernard Malamud's The Fixer Beth WIDMAIER CAPO: How Shall We Change the Law?: Birth Control Rhetoric and the Modern American Narrative Joseph SUGLIA: Putting God on Trial: The Relationship of Kafka to Leibniz Brian CONNIFF: Mumia Abu-Jamal's Live from Death Row as Post-Legal Prison Writing Ana Maria FRAILE-MARCOS: The Letter of the Law and Canadian Letters: Joy Kogawa's Obasan Alicia RENFROE: Prior Claims and Sovereign Rights: The Sexual Contract in Edith Wharton's Summer Nancy LAWSON REMLER and Hugh LAWSON: Situating Atticus in the Zone: A Lawyer and His Daughter Read Harper Lee's To Kill a Mockingbird Gwen MATHEWSON: Challenging the Court: Charles Chesnutt's Marrow of Tradition About the Authors
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.
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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it