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Record W1493070614 · doi:10.21083/synergies.v0i4.1685

Lectures numériques – un parcours d’enseignement-apprentissage

2012· article· fr· W1493070614 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSynergies Canada · 2012
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesComputer scienceArtificial intelligenceArt

Abstract

fetched live from OpenAlex

Cet article a le but de présenter un parcours d’enseignement-apprentissage de FLE basé sur Lectures numériques, un site internet conçu pour un public jeunesse et qui propose une approche multisensorielle de la lecture en se servant de l’outil multimédia. La démarche pédagogique proposée s’inspire des scénarios pédagogiques de Louveau et Mangenot (2006), et résulte d’une analyse de Lectures numériques qui prend en compte sa forme, son support de publication et son caractère intermédial (Bachand, 2000 ; Müller, 2006 ; Saemmer, 2007).
 
 This paper presents a teaching-learning path for French as a Foreign Language based on the website Lectures numériques, which was conceived for young readers and offers a multisensory approach to reading by using a multimedia tool. The pedagogical approach is inspired by the teaching scenarios proposed by Louveau et Mangenot (2006), and is the result of an analysis of the website’s architecture, publication platform and intermedial character (Bachand, 2000 ; Müller, 2006 ; Saemmer, 2007).
 
 Article reçu le 04/12/2011; accepté le 11/01/2012

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.698
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.067
GPT teacher head0.253
Teacher spread0.185 · 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