MétaCan
Menu
Back to cohort
Record W1987993189 · doi:10.7202/1025749ar

Représentation cartographique des complexités d’un dialogue en ligne. Une technique de modélisation analytique inductive

2014· article· fr· W1987993189 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueApproches inductives Travail intellectuel et construction des connaissances · 2014
Typearticle
Languagefr
FieldPsychology
TopicCognitive and psychological constructs research
Canadian institutionsRoyal Roads University
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La plate-forme de dialogue électronique e-dialogue constitue un espace de discussion interdisciplinaire et transdisciplinaire qui promeut un partage et un transfert de connaissances. Elle a été élaborée en 2001 dans le but d’explorer le potentiel d’Internet pour mobiliser divers groupes et réunir une multitude de points de vue afin qu’un dialogue de fond puisse avoir lieu. La plate-forme en question est un système de conversations textuelles en ligne. À l’aide de la Technique Newell & Dale de Modélisation des Conversations (TNDMC), nous avons analysé plus de 45 dialogues en ligne, de 2001 à 2013. Les dialogues ont porté sur des sujets tels que l’infrastructure urbaine, la gestion des déchets nucléaires, l’économie verte – y compris le rôle des jeunes relativement aux initiatives portant sur la durabilité –, les innovations en matière de changement climatique, la redéfinition de la croissance et du progrès dans les temps modernes, et d’autres sujets portant sur les mesures à prendre pour favoriser un avenir durable.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.651
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.039
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.080
GPT teacher head0.382
Teacher spread0.302 · 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