Bibliographic record
Abstract
NOTE FROM THE EDITORCanadian Slavonic Papers occasionally publishes documents of historical significance, and we are happy to include among them memoirs and personal accounts of remarkable experiences that might not otherwise find an outlet. Ten years ago Norman Pereira, an emeritus professor of Russian history at Dalhousie University and long-time member of the Canadian Association of Slavists, published a first installment of his recollections in CSP (“Confessions and Professions”). We are pleased now to present Prof. Pereira’s expansion on that earlier work. Readers of this engaging text will see that our distinguished colleague has led a remarkable life; his gripping anecdotes about his youth in revolutionary China, education at Berkeley in the 1960s, arriving in Moscow just days before the Warsaw Pact invasion of Czechoslovakia, and organizing Dalhousie’s famous study abroad program in the Soviet Union bring colour and ethnographic detail to the events, mentalities, and everyday life of worlds we have lost.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".