Reviews
Bibliographic record
Abstract
An Underwhelming Exercise. Alexander Solzhenitsyn, Dvesti let vmeste (1795–1995) (Together for 200 Years, 1795–1995). Part I. Moscow: Russky put’, 2001. 512pp. Weimar Russia?. Stephen D. Shenfield, Russian Fascism: Traditions, Tendencies, Movements. Armonk, New York: M. E. Sharpe, 2001, 336pp., Bibl. Ind. From Stereotype to Genocide. Robert S. Wistrich (ed.), Demonizing the Other: Antisemitism, Racism and Xenophobia. Studies in Antisemitism 4. Published for the Vidal Sassoon International Center for the Study of Antisemitism, The Hebrew University of Jerusalem. Amsterdam: Harwood Academic Publishers, 1999. 373pp. Notes. Illustrations. Index. ISBN 90–5702–497–7 US$58.00 (hardback) Remembering and Recording. Henryk Grynberg, The Jewish War and The Victory. Evanston, Illinois: Northwestern University Press, 2001. 153pp. ISBN 0–8101 1901–3 (paperback) Distractingly Disunited. Mikhail Parkhomovsky, Andrei Rogachevskii (eds.), Russkie evrei v Velikobritanii: stat'i, publikatsii, memuary, esse (Russian Jews in Great Britain: Articles, Documentary Publications, Memoirs, Essays). Jerusalem, 2000. Vol. 2 (7) of series Russkoe evreistvo v zarubezh'e (Russian Jewry Abroad). 551pp.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.497 | 0.437 |
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".