Bibliographic record
Abstract
Kanadai és magyar történetek az 1956-os forradalomrólEz a könyv az 1956-os magyarországi forradalom ötvenedik évfordulójának alkalmából jött létre. Az Ötven év távlatából olyan magyarok és kanadai magyar emigránsok visszaemlékezéseiből, tapasztalatiból összeállított mozaik, akiknek életét gyökeresen megváltoztatta a szovjet uralom elleni sikertelen felkelés. Tizenöt család két-két egymástól elválasztott tagjának történetét ismerhetjük meg: azokét, akik a viharos események idején elhagyták az országot és azokét, akik maradtak. A szereplők felelevenítik a felkelést megelőző pillanatokat, az átmeneti siker napjait, és végül a forradalom bukásának eseményeit. A Magyarországon és Kanadában készült interjú-sorozat felkavaró és megkapó képet fest az egymástól évtizedekre elszakított emberek sorsáról.Canagian and Hungarian Stories of the 1956 RevolutionMarking the 50th anniversary of the Hungarian revolution, Bridging the Divide is a mosaic of vivid memories of the experiences of Hungarian and émigré Canadian-Hungarians whose lives were transformed as a result of the recollections of those who both fled the country or remained in Hungary during those tumultuous times, we follow fifteen separate family pairs as they recall the build-up to revolt, its momentary success, and ultimate downfall. Through interviews conducted in both Canada and Hungary we hear the grippingly emotional stories of people who end up being separated, thousands of kilometres apart, for decades.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.955 | 0.957 |
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".