Bibliographic record
Abstract
Gustav Azari discusses his Hungarian military career. He also talks about the Yugoslav border oil crisis, emigration in 1956, proletariat in Miskolc and Hamilton, story of escape, father's service in Russia in World War II. Mr. Azari is a Greek Catholic, born in a peasant village, and served as a soldier in Nagykanizsa, and also discusses the Yugoslav oil crisis. He returned to Miskolc and worked in heavy industry. Discusses the revolutionary activity in Miskolc- murders, tanks, terror. Mr. Azari describes the events that occured between October 27 1956, until his escape in January 1957, through Gyor and Hegyeshalom across the border to Austria. Mr. Azari decided to go to Canada because of the definition he read of Canada in a Hungarian-Engilsh dictionary. He traveled to Canada from Schwechat with others from Lager, and arrived in Hamilton, Ontario. He moved in with a Hungarian family and worked at a labourer on a farm owned by a Dutch man. Although the first Christmas in Canada was difficult, Mr. Azari eventually married and bought a house. Mr. Azari is proud to be a Canadian citizen.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.026 | 0.005 |
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".