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Record W7034248159

Sůl nad zlato? Právní a ekonomické postavení města Prachatice v pozdním středověku

2017· dissertation· en· W7034248159 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2017
Typedissertation
Languageen
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMiddle AgesContext (archaeology)Quarter (Canadian coin)Promotion (chess)Period (music)Town councilCompetition (biology)Theme (computing)
DOInot available

Abstract

fetched live from OpenAlex

This master thesis inquires into selected chapters from the late medieval history of the town Prachatice. The first part of the thesis deals with the unclear legal status of the town and with the issue of its promotion to the royal town and its subsequent pawnings in the 15th century. It is a question that has not been sufficiently reflected in literature yet and there is also no agreement whether Prachatice was a royal pawned town or a liege town. The second part discusses the issue of the economic status of the town Prachtice in the context of the Southern Bohemian salt business wherein Prachatice played a crucial role. This part of the thesis is based on a thorough analysis of the staple right of the town Prachatice and the right which covered the compulsory direction of the routes. Further, it deals with the competition of the town Prachatice in the import of salt to Bohemia and with the outline of the directions of the routes that were starting in Prachatice. These routes were the matters of disputes with other involved towns. This thesis is delimited by the period of the Late Middle Ages until the beginning or the first quarter of the 16th century. The attention is paid especially to the unsettled 15th century which brought a lot of turns of events into the history of the town. Key words:...

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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 score0.906
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.236
Teacher spread0.219 · 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
Published2017
Admission routes1
Has abstractyes

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