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Record W7135568948

The Czech environment through the eyes of Slovak artists

2019· dissertation· sk· W7135568948 on OpenAlexaboutno aff
Adriana Petkova

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2019
Typedissertation
Languagesk
FieldSocial Sciences
TopicCentral European national history
Canadian institutionsnot available
Fundersnot available
KeywordsCzechSlovakCraftQuarter (Canadian coin)ExhibitionPoint (geometry)Zoom
DOInot available

Abstract

fetched live from OpenAlex

The diploma thesis deals with a creation of three significant Slovak representatives who are Dominik Tatarka, Ľubomír Feldek and Milan Lasica and their view of the Czech nation and its culture. Their craft indeed exceeds boundaries of the Slovak republic and its well-known also to many people in the Czechia. The paper is aimed to deepen knowledge of the Slovak art especially literature at the Czech environment and to find out how the three chosen artists see it. Three separate chapters are devoted to the lives of Dominik Tatarka, Ľubomír Feldek and Milan Lasica and circumstances of their creation which always individually zoom in also periods when the Czech environment influenced or shaped them mostly, apart from other significant information. The chapters together create a basis of a an analysis of the literary works which are specifically focused on the Czech environment or which create a knowledge about it. Thanks to this analysis we tried to map out which image is constructed by author's literary works about the Czechia and to point out to Czech-Slovak relationships also a quarter century after separation of the two neighboring nations. We looked closer to their current connection at the last part of the paper which is especially dedicated to the literary creation and translation to the Czech...

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.848
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0020.000
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 head0.008
GPT teacher head0.247
Teacher spread0.238 · 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
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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueDigital Repository (National Repository of Grey Literature)Same topicCentral European national historyFrench-language works237,207