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Record W4231267899 · doi:10.4000/ifha.8360

Barbara Stollberg-Rilinger, Tim Neu, Christina Brauner (dir.), Alles nur symbolisch? Bilanz und Perspektiven der Erforschung symbolischer Kommunikation

2015· article· de· W4231267899 on OpenAlexaff

Bibliographic record

VenueRevue de l’Institut français d’histoire en Allemagne · 2015
Typearticle
Languagede
FieldArts and Humanities
TopicLinguistic research and analysis
Canadian institutionsInstitut d'Histoire de l'Amérique Française
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Parmi les Sonderforschungsbereiche (SFB) financés par la Deutsche Forschungsgemeinschaft dans les universités allemandes, certains réussissent à s’imposer non seulement comme les porteurs et les marqueurs d’un courant innovateur particulier (ce qu’on attend d’eux, d’ailleurs) mais de surcroît comme les porte-drapeaux d’une réorientation de la recherche dans son ensemble. Cela fut le cas du désormais mythique SFB 177 « Histoire sociale de la bourgeoisie moderne » (1986-1997), fleuron de l’écol...

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)0.004
metaresearch head score (Gemma)0.009
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: Review
Teacher disagreement score0.015
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0040.005
Scholarly communication0.0070.009
Open science0.0010.002
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0130.010

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 head0.024
GPT teacher head0.260
Teacher spread0.237 · 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
Published2015
Admission routes1
Has abstractyes

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