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Record W4281635124 · doi:10.24073/jga/3/01/08

The Operation Successful, But the Patient Died. The Gradual Elimination of the Central European Peasantry in the Light of Globalization and Interwar Processes

2022· article· en· W4281635124 on OpenAlexaboutno aff
Janáos Fritz

Bibliographic record

VenueJournal of global awareness · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Geopolitical and Social Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPeasantInterwar periodAgrarian societyIdeologyEconomic historyPoliticsGlobalizationPolitical economySocialismPolitical scienceWorld War IIHistorySociologyCommunismLawArchaeology

Abstract

fetched live from OpenAlex

In terms of “depeasantisation," it was with the EU accession in 2004 when Central Europe – including Hungary – reached the stage where England had already arrived in the 18th and Germany in the 19th century. The gradual disappearance of the peasantry in the continent is doubtless in connection with the tendencies of globalization, a phenomenon that could not be stopped even by the authoritarian regimes of the interwar period – the time period examined by the dissertation. However, in a latent way, the question had already arisen at the time: is peasantry necessary at all? Nevertheless, as a consequence of the defeat in World War I, there were important national political arguments for the preservation of peasantry in the region, together with the rise of peasant ideologies. After 1945 – as Barrington Moore, the ideologist of the Cold War, pointed out – the huge peasant masses meant the precondition for not only the creation of fascism but also for Eastern European socialism. Therefore, many problems had to be swept under the carpet. But the issue can be better understood once it is examined along the “development slope." In this aspect, many experts in new comparisons drew attention to the key role of Germany. Following the footsteps of the Canadian historian Scott M. Eddie, the author of this article compares the agrarian societies of two areas dominated by large estates, Pomerania and Somogy county, with a special focus on the significance of identity. The research questions were the following: what were the chances of the peasantry in those areas in the grip of modernity and large estates? To what extent had this process altered identity? In order to map the latter methodologically, the study required a wide interdisciplinary examination.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.726
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.265
Teacher spread0.255 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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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