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Record W4286218958 · doi:10.5195/ahea.2022.465

Reconstructing a Transatlantic Business Venture: Aladár Pataky’s Unknown Manuscript from 1927

2022· article· en· W4286218958 on OpenAlexaboutno aff
Balázs Venkovits

Bibliographic record

VenueHungarian Cultural Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsMicrohistoryIdentification (biology)PoliticsHistoryPolitical scienceEconomic historyLaw

Abstract

fetched live from OpenAlex

This paper reconstructs the story of a so far unknown manuscript, a handwritten, personal account detailing a 1927 journey to the United States and Canada with the primary purpose of selling Hungarian wine as part of a more extensive international venture. The article introduces the research that led to the identification of the writer of the manuscript –written on sheets of paper from a Canadian hotel – and outlines the background of a fascinating business project, thereby positioning the text not only as a unique example to be studied with the tools of microhistory but also placing it in the broader, transatlantic historical and political environment of the time. The text is also studied and presented as a piece of travel writing that provides unique insights into Hungarian perceptions of North America in the 1920s and the Hungarian images of Canada and the United States.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0210.013
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0020.001

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 head0.104
GPT teacher head0.256
Teacher spread0.151 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations1
Published2022
Admission routes1
Has abstractyes

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