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Record W2012466143 · doi:10.3917/aatc.146.0003

L'écriture comme outil de recherche

2014· article· fr· W2012466143 on OpenAlexaboutno aff
Jacques Hillion

Bibliographic record

VenueActualités en analyse transactionnelle/Actualités en analyse transactionnelle · 2014
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

La revue des A.A.T est une revue destinée à des praticiens, écrite par des praticiens. Son objectif principal est de permettre la diffusion d’une pensée vivante, interrogeant aussi bien nos pratiques que la théorie transactionnaliste qui les sous-tend. Se pose la question de la qualité des textes. Jacques Hillion possède un master en psychopédagogie perceptive de l’Université Fernando Pessoa (Porto). Il est actuellement doctorant en Éducation à l’Université de Sherbrooke (Canada). Son thème de recherche est l’aide à l’écriture pour les étudiants universitaires. Avec une grande gentillesse, il a accepté de nous livrer quelques points de repères sur l’écriture dans le domaine de la recherche en sciences humaines. Il nous donne ainsi de précieuses balises, certaines très concrètes, à même de nous guider dans notre travail de conceptualisation et d’écriture.

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)0.037
metaresearch head score (Gemma)0.088
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: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.088
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.006
Science and technology studies0.0060.016
Scholarly communication0.0300.025
Open science0.0030.008
Research integrity0.0080.016
Insufficient payload (model declined to judge)0.0320.013

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 head0.153
GPT teacher head0.368
Teacher spread0.215 · 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
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
Published2014
Admission routes1
Has abstractyes

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