The Sarmatian Review, Vol., 35, No. 3
Bibliographic record
Abstract
In this issue: Sarmatian Review Data -- Adam Mickiewicz, Pan TadeuszBook Eleven, translated by Christopher A. Zakrzewski -- Bronislaw Wildstein, Czas niedokonany (reviewed by Ewa Thompson) -- Dariusz Skrczewski, Teoria-LiteraturaDyskurs. Pejzai postkolonialny (reviewed by Tamara Trojanowska -- Adam Michnik, The Trouble with History: Morality, Revolution, and Counterrevolution (reviewed by John M. Grondelski) -- Na luku elektrycznym: o pisaniu Andrzeja Bobkowskiego, by Maciej Nowak (reviewed by Maciej Urbanowski) -- Jiri Karsek ze Lvovic, A Gothic Soul, translated by Kirsten Lodge (reviewed by Terrence O'Keefe) -- Literature, Exile, Alterity: The New York Group of Ukrainian Poets, by Maria Rewakowicz (reviewed by Mark Andryczyk) -- MORE BOOKS: Debaty Artes Liberales: Inteligent, humanista, intelektualista, vol. VIII, edited by Katarzyna Tomaszuk -- Andrzej Maksymilian Fredro, Scriptorum Seu Togae/ Fragmenty pism, czyli uwagi o wojnie i pokoju -- Aleksandra Ziolkowska-Boehm, Senator Stanley Haidasz: A Statesman for All Canadians -- LETTERS: James E. Reid, Workers' Rights in Canada, Workers' Rights in Poland -- About the Authors -- Thank You Note
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 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.051 | 0.032 |
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".