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Record W7112024805

La comodalité : une combinaison unique de présence et de distance

2022· article· fr· W7112024805 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueR-libre (Université Téluq) · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicEducational Tools and Methods
Canadian institutionsnot available
Fundersnot available
KeywordsDistance measurementLigneHomogeneous
DOInot available

Abstract

fetched live from OpenAlex

La formation à distance (FAD) connaît une évolution significative, rapide et continue dans plusieurs régions du monde (Conseil supérieur de l’éducation, 2015) et notamment au Canada, où les établissements d’enseignement supérieur accordent de plus en plus d’importance à la FAD et à l’apprentissage en ligne (Bates 2019). Or, depuis le printemps 2020, la pandémie de la COVID-19 a forcé une mise en place de ce mode de formation à tous les niveaux scolaires. Il en résulte que former à distance est devenu un moyen à envisager pour tous les ordres d’enseignement. Ainsi, les cours comodaux, multimodaux ou flexibles durant lesquels des étudiantes et étudiants sont assis dans une classe et où d’autres participent au cours à distance à partir de leur domicile de manière synchrone ou asynchrone (enregistrements) peuvent représenter une voie à privilégier pour permettre aux établissements et à leurs enseignantes et enseignants de développer et d’offrir à la fois des cours à distance et en présence.

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)0.002
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.840
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.343
Teacher spread0.320 · 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