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Record W6955412100 · doi:10.58079/tyk1

Matériaux pour l'analyse

2020· article· fr· W6955412100 on OpenAlexaboutno aff

Bibliographic record

VenueOpenEdition (OpenEdition) · 2020
Typearticle
Languagefr
FieldEnvironmental Science
TopicHydrology and Watershed Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Identification (biology)Set (abstract data type)

Abstract

fetched live from OpenAlex

Notre action de recherche inscrite en analyse du discours s'appuie sur l'étude de données empiriques. Afin de soutenir la mise en oeuvre d'analyses collaboratives et collectives, notre équipe partage un ensemble de ressources progressivement collectées et répertoriées ci-dessous. Liste des ouvrages numérisés et/ou océrisés (rédigé et/ou traduit en langue française) Ansembourg (d’), T. (2001). Cessez d’être gentil. Soyez vrai ! Être avec les autres en restant soi-même. Montréal : Les éditions...

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)0.065
metaresearch head score (Gemma)0.136
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: Other · Consensus signal: none
Teacher disagreement score0.065
Threshold uncertainty score0.344

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0650.136
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0090.009
Science and technology studies0.0040.011
Scholarly communication0.0210.015
Open science0.0060.008
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0380.020

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 head0.025
GPT teacher head0.237
Teacher spread0.211 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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