Bibliographic record
Abstract
In the winter of 1998, I received an e-mail from Heiko Lehmann, the Berlin half of Golus Story theatre Toronto Berlin, in which he told me that the galleys of his translation of my novel, Shlepping the Exile, had just arrived from the publisher. Apparently, the publisher had had some concerns about Lehmann’s accuracy and had hired a consultant to review the translation and make the necessary corrections. Lehmann was writing to tell me that the consultant (who was paid more to be consulted than Lehmann had been to do the translation) had decided that the jelly roll in “Jelly Roll Morton” was, at least in part, a plea for help from an uncomprehending Lehmann and had thus rushed into the breach and turned the composer of King Porter Stomp and “Originator of Jazz and Stomps, Victor Recording Artist, World’s Greatest Hot Tune Writer” into Himbeer-Roulade - God help us, Pigmeat Markham would have come out as Schweinenschnitzel - Himbeer-Roulade, Raspberry Turnover Morton. Lehmann still refuses to tell me what she did with such recondite colloquialisms as “talk white, Ikey” and “riddle me jerk-offs.”
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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".