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Record W4391383044 · doi:10.18162/ritpu-2023-v20n3-04

Dans l’enseignement en ligne, communiquer par courriel

2023· article· fr· W4391383044 on OpenAlexaffvenue
Nicole Racette, Marie-Pierre Bourdages-Sylvain

Bibliographic record

VenueRevue internationale des technologies en pédagogie universitaire · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversité TÉLUQ
Fundersnot available
KeywordsPolitical scienceSociology

Abstract

fetched live from OpenAlex

L'acte d'enseigner, dans les cours en ligne offerts en asynchrone, est réalisé par des responsables de cours et des responsables de l'encadrement, en remplacement du seul professeur ou de la seule professeure qu'on retrouve dans les cours en présentiel.Ces responsables travaillent à distance les uns des autres et communiquent essentiellement par courriel.Cette revue de littérature vise à problématiser et à intellectualiser cette communication par courriel.Les inconvénients ainsi que les pratiques pour les contourner sont exposés.Les directives présentées par rapport à l'utilisation des courriels visent à faciliter leur compréhension, à faire économiser du temps et à favoriser la coopération des correspondants et correspondantes.

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)0.009
metaresearch head score (Gemma)0.021
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0120.010
Open science0.0020.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0280.009

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 head0.034
GPT teacher head0.312
Teacher spread0.278 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

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Same venueRevue internationale des technologies en pédagogie universitaireSame topicFrench Language Learning MethodsFrench-language works237,207