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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 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)0.002
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 score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.010
Scholarly communication0.0180.004
Open science0.0000.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.008
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 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
Published2019
Admission routes1
Has abstractyes

Explore more

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