Bibliographic record
Abstract
Americk historik Marko Dumani vmonografii Men Out of Focus: Soviet Masculinity Crisis in the Long Sixties (Toronto, University of Toronto Press 2021) vstupuje na irok pole debat o obdob poststalinismu sadou novch podnt, kdy na n nahl skrze kategorii maskulinit. Pedmtem jeho zjmu jsou podoby a reflexe maskulinity vsovtsk spolenosti vase mezi dvactm sjezdem sovtskch komunist vroce 1956 a nstupem Leonida Iljie Brenva do vrcholn stranick funkce vroce 1964. Na rozmanitm pramennm materilu, mezi nm pevauj dobov sovtsk filmy vmezinrodnm srovnn, ale nechybj tak tehdej sovtsk anekdoty nebo stranick tisk, autor sleduje vztahy mezi otci a syny, mui a enami, rznmi muskmi skupinami, ale tak kolektivn transfigurace otcovsk autority (vldce i stt versus oban). Jak dokld, tehdej sovtsk spolenost pociovala palivou krizi tradinch muskch vzor a hledala jejich alternativy, napklad vroli mue-vdce. Knize podle recenzenta sice schz komplexnj analytick zbr a interdisciplinrn pesah, je ale poutav, pin adu dobe doloench poznatk a vcelku znamen mimodn poin.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.013 | 0.016 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".