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Record W2177449822 · doi:10.7202/1047316ar

APPRENDRE EN LISANT AU PRIMAIRE EN RECOURANT À DES TEXTES INFORMATIFS ILLUSTRÉS : ÉTUDE EXPLORATOIRE

2018· article· fr· W2177449822 on OpenAlexaffvenue
Sylvie C. Cartier, Virginie Martel, Julie Arseneault, Éliane Mourad

Bibliographic record

VenueRevue de recherches en littératie médiatique multimodale · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsUniversité du Québec à RimouskiUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Une situation de lecture essentielle à la réussite de l’élève dans toutes disciplines est l’apprentissage par la lecture (APL). Afin de soutenir leurs élèves en ce sens, des enseignants d’une école urbaine en milieu défavorisé ont développé de manière collaborative une approche type de situation d’APL qu’ils adaptent selon leurs groupes et selon la discipline enseignée. La présente étude a pour objectif d’explorer la relation entre la situation d’APL, conçue par ces enseignants de 3 e cycle, comprenant les tâches à réaliser et les documents de lecture proposés, et les réponses des élèves aux diverses tâches. Les principaux résultats montrent que peu des tâches proposées demandent réellement de lire et que la source d’information principale demeure textuelle. Conséquemment, le recours à l’image comme support informatif reste encore marginal et la planification de tâches d’APL, de même que le choix des textes, reste un défi majeur à relever dans la planification d’une situation d’APL au primaire.

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)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.070
GPT teacher head0.342
Teacher spread0.272 · 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 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
Published2018
Admission routes2
Has abstractyes

Explore more

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