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Record W2731967176 · doi:10.4000/ifha.1770

KLUGE, Arnd, Die Zünfte

2013· article· fr· W2731967176 on OpenAlexaff
Guillaume Garner

Bibliographic record

VenueRevue de l’Institut français d’histoire en Allemagne · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsInstitut d'Histoire de l'Amérique Française
Fundersnot available
KeywordsDie (integrated circuit)Computer scienceOperating system

Abstract

fetched live from OpenAlex

L'histoire de l'artisanat et des corporations connaît depuis une quinzaine d'années un net essor en Allemagne, en Autriche et en Suisse.L'utilisation de documents issus de la pratique des acteurs concernés, et non plus seulement de sources normatives, a permis un renouvellement des approches et des concepts, ce qui a permis l'éclosion d'un courant dit « révisionniste » s'inscrivant en faux contre une vision traditionnelle des corporations qui voyaient en elles des institutions conservatrices et sclérosées.C'est donc à un état de connaissances actuelles qu'entend procéder A.K. dans cet ouvrage de synthèse qui repose sur l'utilisation de la bibliographie consacrée à ce thème.La concision du titre ne le dit pas, mais ce livre porte sur les corporations en Allemagne, en Autriche et en Suisse du XIIe s. au XIXe s.

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)0.002
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: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.007
Scholarly communication0.0060.007
Open science0.0010.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0230.008

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 head0.237
Teacher spread0.221 · 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
GenreReview

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
Published2013
Admission routes1
Has abstractyes

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