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Record W7074687945

Streekromans en het Tsjechische ruralisme

2013· other· en· W7074687945 on OpenAlexaboutno aff

Bibliographic record

VenueAdam Mickiewicz University Repository (Adam Mickiewicz University in Poznan) · 2013
Typeother
Languageen
FieldPhysics and Astronomy
TopicTheoretical and Computational Physics
Canadian institutionsnot available
Fundersnot available
KeywordsFlemishCzechQuarter (Canadian coin)World War IISlovakFirst world warGerman
DOInot available

Abstract

fetched live from OpenAlex

In the Netherlands regional novels have never been considered as real literary works. In Flanders regional literature had a better status, especially because several writers of the Van Nu en Straks movement such as Stijn Streuvels wrote about regional themes. In Czech literature since 1848 regional themes was viewed as important in novels and stories, mainly till the end of World War II . In 1932 the Catholic writer Antonín Matula defined the so-called Ruralism, which became a movement of mainly Catholic writers from the countryside. Most of them were severely persecuted in a constructed Stalinist show trial against the Green International in 1951. In his work Hlasy země v evropských literaturách (The Voice of Earth in European Literatures, 1933) Matula discussed nearly all major European literatures, i.e. Flemish regional writers. It is no coincidence that especially Flemish writers such as Ernest Claes, Stijn Streuvels and Felix Timmermans, were translated into Czech during the second quarter of the 20th century.

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)0.001
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0060.003
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.003

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 head0.002
GPT teacher head0.155
Teacher spread0.153 · 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
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
Published2013
Admission routes1
Has abstractyes

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