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Record W7135785523

Chronicals of the town of Přeštice in mutual comparison

2020· dissertation· cs· W7135785523 on OpenAlexaboutno aff
Ivana DVOŘÁKOVÁ

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2020
Typedissertation
Languagecs
FieldSocial Sciences
TopicCentral European national history
Canadian institutionsnot available
Fundersnot available
KeywordsCzechPeriod (music)Quarter (Canadian coin)CollationWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

Goal of this thesis was to study municipal, parish and school chronicles of the town of Přeštice, including their authors. The thesis is divided into four main chapters. In the first chapter, the history of the town of Přeštice is briefly outlined. The development of the town administration, parish and local schools is emphasized. The following chapter discusses the development of Czech chronicle writting. It also describes laws, standards and regulations that formed the management of chronicles and their content. The third chapter devotes to history of the chronicle writting of the town of Přeštice. It introduces each chronicle, all its authors and describes the form of its records. Subsequently, a comparison of the chronicles in time periods between the years 1831-1840 and 1867-1993 is done, including the analysis of their thematical intersections. In the conclusion, all of the findings are summarized and the directions of the future research are indicated. As a supplementary material, full text of all the laws, standards and regulations described in the second chapter, tables with an overview of all the described chronicles, photos of the chronicles and chroniclers are included.

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)0.003
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0070.005
Scholarly communication0.0040.004
Open science0.0010.005
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.000

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 head0.014
GPT teacher head0.281
Teacher spread0.266 · 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
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
Published2020
Admission routes1
Has abstractyes

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