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Record W7033007970

Paříž jako útočiště českých umělců po roce 1945

2019· dissertation· en· W7033007970 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2019
Typedissertation
Languageen
FieldSocial Sciences
TopicRegional Development and Environment
Canadian institutionsnot available
Fundersnot available
KeywordsCzechKarelEmigrationDestiny (ISS module)BureaucracyPeriod (music)
DOInot available

Abstract

fetched live from OpenAlex

The Master thesis has for its objective mapping of destiny of czech comunity in Paris from sixties to eighties. Its purpose is not to get a complete list of all artists, who came to Paris. It's just a sellection of those important persons, who broke through Paris. The personal interviews play an important part of the sources. The thesis is not structured in medallion-biography way, but it is lined up in a thematic way. Most of the artists handled in their new home country withe similar problems and situations. First theoretical part characterise the period, the environment, the czech-french relations and the general phenomena of emigration in the czech historical memory. In sixties the czech-french relations started to be reanimated and many french art critics visited Czechoslovakia and they wrote about czech art. Beside France, the czech emigration refuged in sixties largely to West Germany, United States of America, Canada, austrian Wien, Swiss and nordic countries. Individuals art centres were connected to others by friendships and artists visited themselves. Second and more extensive part of the thesis works with the oral and witten interviews. The respondent artists are Miloš Cvach, Roman Kameš, Karel Machálek-Zlín, Miloslav Moucha, Vladimír Škoda, Ivan Theimer and art historian Jana Claverie....

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.576
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
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 head0.009
GPT teacher head0.249
Teacher spread0.240 · 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 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
Published2019
Admission routes1
Has abstractyes

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