MétaCan
Menu
Back to cohort
Record W2525038179

La création d'un questionnaire: entre intuition et règles

2016· article· fr· W2525038179 on OpenAlexfundno aff
Nora Sabina Mărcean

Bibliographic record

VenueApplied Medical Informatics (University of Medicine and Pharmacy Cluj-Napoca) · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
FundersAgence Universitaire de la Francophonie
KeywordsHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Dernier document de suivi dans le cadre du projet Tandem, bilinguisme et construction des savoirs disciplinaires: une approche du FLE/FOS en contact avec les langues de l'Europe Centrale et Orientale" (2012Orientale" ( -2014)), coordonn par le charg de cours dr.Aurora Bgiag -UMF Iuliu Haieganu , le Questionnaire sur l'exprience en tandem/immersion franco-roumain(e) vise identifier le dveloppement de la comptence interculturelle et de la comptence d'altrit [1], suite l'exprience en tandem/immersion linguistique rciproque, plus exactement, la confirmation ou l'infirmation de la validit de la dmarche didactique implique dans le dveloppement des savoirs.L'analyse de la conception du questionnaire devrait reflter tant les objectifs de la recherche, que la manire dont les rponses aux questions peuvent s'intgrer dans un traitement des donnes et, surtout, l'influence des rgles de conception sur les rponses.La dmarche analysera chaque question du questionnaire par rapport une srie de rgles visant les principes suivre avant et pendant la rdaction d'un questionnaire et identifiera les ventuelles influences sur les rponses.L'tape finale consistera en une analyse comparative du questionnaire appliqu sur 31 rpondants et de la version finale du questionnaire.Bien qu'elle ne soit pas conforme toutes les rgles analyses, la forme finale du questionnaire rsout grand nombre des problmes dus la conception et mne, thoriquement, une confirmation du but de la dmarche didactique.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.895
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.027
GPT teacher head0.323
Teacher spread0.296 · 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 teacher head, not a consensus.

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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueApplied Medical Informatics (University of Medicine and Pharmacy Cluj-Napoca)Same topicFrench Language Learning MethodsFrench-language works237,207