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Record W2057745214 · doi:10.4000/ifha.347

Trivium. Revue franco-allemande de sciences humaines et sociales / Deutsch-französische Zeitschrift für Geistes- und Sozialwissenschaften

2009· article· de· W2057745214 on OpenAlexaff
Thomas Lienhard

Bibliographic record

VenueRevue de l’Institut français d’histoire en Allemagne · 2009
Typearticle
Languagede
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsInstitut d'Histoire de l'Amérique Française
Fundersnot available
KeywordsPhilosophyHumanities

Abstract

fetched live from OpenAlex

Jusqu’il y a peu, notre institut n’avait pas coutume de s’associer à des opérations éditoriales de grande ampleur sur Internet, à l’exception de ses publications propres. Mais au même titre que Ménestrel (présenté plus haut, p. 113), le projet Trivium, porté par la Fondation de la Maison des Sciences de l’Homme et plus particulièrement par Hinnerk Bruhns, a forcé le respect, encourageant notre institut à le soutenir dès le départ, de concert avec d’autres institutions participantes. La liste ...

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)0.005
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0080.008
Scholarly communication0.0110.010
Open science0.0010.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0240.007

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 head0.068
GPT teacher head0.306
Teacher spread0.239 · 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
GenreOther

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

Citations1
Published2009
Admission routes1
Has abstractyes

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