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Record W7113386839

The Petition System in the Kingdom of Bavaria – A study on the principles, the political significance and the parliamentary practice with special consideration of relevant parliamentary sources which have been made accessible in/by an EDP-database

2012· dissertation· de· W7113386839 on OpenAlexaboutno aff

Bibliographic record

VenueOnline Publication Service of Würzburg University (Würzburg University) · 2012
Typedissertation
Languagede
FieldSocial Sciences
TopicPublic Administration and Political Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsKingdomPoliticsLegislationQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Die vorliegende Arbeit beschäftigt sich mit der historischen Genese des Gewohnheitsrechts des Einzelnen, Petitionen an die Obrigkeit bzw. an die Staatsregierung einzureichen. Der besondere Fokus liegt hierbei auf den Zusammenhängen im modernen Bayern. Die Bedeutung des Petitionswesens für die parlamentarische Entwicklung im Königreich Bayern stellt den zentralen Forschunggegenstand dar. Die dieser Studie zugrundeliegende Sichtung umfangreicher Archivalien des Hauptstaatsarchivs München geht einher mit der Auswertung und der kritischen Beleuchtung eines Forschungsprojekts zum vorliegenden Thema, welches an der Universität Würzburg durchgeführt wurde.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score0.431

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.011
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.036
GPT teacher head0.293
Teacher spread0.257 · 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 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
Published2012
Admission routes1
Has abstractyes

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