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Record W7135448480

Parishes in the Tábor region from the perspective of preparatory writings for the Theresian Cadastre

2022· dissertation· cs· W7135448480 on OpenAlexaboutno aff
Tereza Wiendlová

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2022
Typedissertation
Languagecs
FieldArts and Humanities
TopicHistorical Studies of British Isles
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Quarter (Canadian coin)CadastreFocus (optics)Baroque
DOInot available

Abstract

fetched live from OpenAlex

The goal of this bachelor's thesis is to process cultural and historical data from spiritual preparatory writings, located in the National Archives in Prague, in the files of the Theresian Cadastre for the Tábor region from the first quarter of the 18th century. The preparatory writings were meant to improve taxation and the creation of a new Teresian cadastre. Focus of the thesis is on examining the condition of the local parishes, their extent according to the number of parishioners, the condition of parish and branch churches or chapels and the distance of villages from the church. Attention is also paid to the relations between priests, parishioners and lords. Separate chapters concern parish schools, hospitals or fraternities and literary fraternities. The thesis is supplemented by the financial and economic side of parishes, including permanent and incidental salaries of clergy, the composition of the parish economy and the equipment of churches. Keywords Theresian cadastre, spiritual preparatory writing (duchovní tabela), parishes, parish schools, fraternities, literary fraternities, baroque hospitals, Tábor region, Bechyně region

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.665
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0020.000
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 head0.015
GPT teacher head0.247
Teacher spread0.232 · 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 designQualitative
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
Published2022
Admission routes1
Has abstractyes

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