MétaCan
Menu
Back to cohort
Record W1917879743 · doi:10.7202/1035521ar

Genèse d’une communauté de pratique d’étudiants issue d’un forum de discussion : participation, conscience d’autrui et engagement mutuel

2013· article· fr· W1917879743 on OpenAlexvenueno aff
Annick Pradeau, Philippe Dessus

Bibliographic record

VenueRevue internationale des technologies en pédagogie universitaire · 2013
Typearticle
Languagefr
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

Cet article étudie la manière dont une promotion d’étudiants de 3e année de licence en sciences de l’éducation à distance (FORSE, CNED) s’approprie un forum de discussion généraliste et interne à la formation, et comment une communauté de pratique virtuelle peut émerger à partir de leurs interactions. Ces dernières sont recueillies et analysées sur trois périodes au sein d’une année entière et un questionnaire d’opinion est passé. Trois dimensions sont investiguées : l’utilisation de l’outil forum de discussion, la manière dont les participants s’intéressent à autrui et communiquent à propos d’eux-mêmes (awareness) et, enfin, l’émergence et l’entretien d’une communauté de pratique en ligne. Les résultats montrent que le forum est un outil qui structure la CdP, que des éléments personnels de présentation de soi sont principalement diffusés en début d’année, dirigés vers autrui et spécifiques à la distance; enfin, l’existence d’entraide et d’auto-organisation des participants à différents niveaux d’engagement est relevée, conforme en cela à la théorie de Wenger.

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)0.027
metaresearch head score (Gemma)0.056
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.056
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0090.009
Scholarly communication0.0100.008
Open science0.0010.012
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.043
GPT teacher head0.365
Teacher spread0.321 · 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 designQualitative
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

Citations3
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueRevue internationale des technologies en pédagogie universitaireSame topicInnovative Teaching and Learning MethodsFrench-language works237,207