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Record W2736065912

A Network Analysis of a Political Myth

2009· article· en· W2736065912 on OpenAlexaboutno aff
Matthieu Brejon de Lavergnée

Bibliographic record

VenueHistoire & Mesure · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyPoliticsQuarter (Canadian coin)SociologyLawSocial sciencePolitical scienceHistoryClassics
DOInot available

Abstract

fetched live from OpenAlex

The Congregation was one of the powerful political and religious myths of 19th-century France. Its members were conspiracy theorists who conducted ultra-royalist and ultramontane intrigues via a secret network of provincial branches. One of these, the Societe des bonnes etudes, established in the Latin Quarter, recruited mainly among law students. Drawing from the Congregation’s archives, this paper builds a sociology of the “Jesuits in short gowns,” as its members were named in derision. It describes how students in the 1820s socialized in these “ultra” circles. Comparing the membership lists of five such associations, a network analysis makes it possible to arrive at a richer picture than that which had prevailed since the 1826 controversy. At least four profiles emerge: the unconcerned, the intellectual, the devout, and the political.

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)0.006
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 score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.016
GPT teacher head0.219
Teacher spread0.203 · 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
Published2009
Admission routes1
Has abstractyes

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