Bibliographic record
Abstract
On9 October 2001 Vernon Lidtke delivered his valedictory lecture at The Johns Hopkins University on the topic of “Die Abstrakten,” a left-wing group of artists in Germany during the Weimar Republic. With this address before an appreciative audience comprising students, colleagues, and friends, Vernon concluded almost forty years of a distinguished scholarly career in the field of modern European and German history. In his scholarship Vernon is most widely identified with the study of the German labor movement in general and especially the Social Democratic Party, on which subjects he has thus far published two major books along with numerous journal articles and chapters. His formal retirement from academic life was also marked a few months earlier by a testimonial dinner held in Baltimore and attended by a large proportion of the twenty-five doctoral graduates whose dissertations he had supervised over more than three decades at Johns Hopkins. On both occasions he was fondly remembered as an accomplished historian, an inspiring teacher, and a generous mentor. In this and the four essays that follow, some of his former students wish also to commemorate Vernon's scholarly and teaching career.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.052 | 0.022 |
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".