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Record W2742553014

Hungarian interview - Maria Sauerwald

2006· article· en· W2742553014 on OpenAlexaboutno aff
Mhso, Monika Berenyi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicHungarian Social, Economic and Educational Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsWorld War IICommunismHistoryEconomic historyPolitical scienceMedia studiesLawSociology
DOInot available

Abstract

fetched live from OpenAlex

Marika Sauerwald begins by sharing her memories of the events in Budapest, Hungary during the 1956 Revolution. She describes the entire three weeks of the revolt with exceptional chronological accuracy. Ms. Sauerwald came to Canada on an army plane. She loved Montreal, Quebec. She worked in hard physical labor her whole life. Ms. Sauerwald has no regrets about leaving Hungary, as the communists destroyed everything. She talks about the social-political climate in Budapest during the 1956 uprising. Ms. Sauerwald then talks about her early life, she was born Kajcsanyi Maria. Her entire family had been black-listed as 'kulak.' She talks about 'the terror,' and how they lived amongst many communist families. Ms. Sauerwald had four siblings, two parents, and the mass suffering during World War II. She describes her experiences of WWII in great detail. Ms. Sauerwald was not allowed to study what she wanted to at school, and was forced into another stream. At this time they lived in fear of Russians. She describes the moments leading to revolt in September and October of 1956. Ms. Sauerwald talks about Budapest radio, the situation with the banks, Pest, Buda, ammunition, strategies, social, political, and economic facts. She also talks about Gero Erno's speech, movement throughout the city during the night, ammunition Molotov cocktails, the Suez Canal, and other topics. During the Revolution there was a crisis within the hospitals because they could not get any international supplies. Ms. describes the events of November 4th with great accuracy- the bombs, bloodshed, AVO murder, stealing, theft, terror. She and her husband escape Hungary and go to Austria where they end up in a refugee camp. They looked at a map and decided that they wanted to go Montreal so that her husband could continue his education. She talks about crossing the border, and the camp in Austria. Ms. Sauerwald talks about their arrival in Montreal, Quebec, and they learned English and French, and found work in factories. Her husband was unable to get into university in Canada. With the October Crisis in Quebec in 1970, the family moved to Hamilton, Ontario. Marika began teaching Hungarian, raised a daughter, and became active in Scouting, language studies, poetry reading, and folk dancing.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.865
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.033
GPT teacher head0.301
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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