MétaCan
Menu
Back to cohort
Record W2122871467 · doi:10.18352/bmgn-lchr.6251

De vergadering van de Staten-Generaal in de Republiek voor 1795 en de publiciteit

2005· article· en· W2122871467 on OpenAlexaff
J.W. Koopmans

Bibliographic record

VenueBMGN - Low Countries Historical Review · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsNutrasource
Fundersnot available
KeywordsEliteObligationPoliticsSecrecyPrestigeConfidentialityThe RepublicPolitical scienceTransparency (behavior)General assemblyLawHumanitiesArtTheologyPhilosophy

Abstract

fetched live from OpenAlex

The Assembly of the States-General in the Dutch Republic before 1795 and the information that it released to the general publicThis paper examines the transparency of the meetings of the Dutch States-General during the early modern period. These meetings were held behind closed doors and were only accessible to the political elite. Despite this, some information did leak out to the citizens of the Republic. The key question is which procedures and rites did the general public know about and which aspects of the meetings remained obscure. Following the description of an incident in 1787, in which a fight almost broke out between two deputies — something that was almost unheard of in the history of the States-General — a number of familiar aspects are discussed, such as the frequency of the meetings, the number of deputies present, their agenda and conference table, and the customs that were followed when receiving foreign guests. The paper goes on to discuss some other aspects of the confidential nature of the States-General’s meetings, such as the obligation to secrecy. This confidentiality resulted in an aloof press that only reported harmless facts together with information that was deemedimportant for the prestige of the political elite. This article is part of the special issue 'Parlementen in de Nederlanden'.

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)0.001
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: none
Teacher disagreement score0.093
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.003
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.023
GPT teacher head0.337
Teacher spread0.315 · 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

Citations3
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueBMGN - Low Countries Historical ReviewSame topicHistorical Influence and DiplomacyFrench-language works237,207