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Record W3086494234

Apprentissage par les adultes au Canada [ressource électronique] : une perspective comparative : résultats de l'Enquête sur la littératie et les compétences des adultes

2007· article· fr· W3086494234 on OpenAlexaboutno aff
Kjell Rubenson

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt
DOInot available

Abstract

fetched live from OpenAlex

Dans un contexte, ou le savoir et l'information sont consideres comme les fondements de l'activite economique des pays industrialises, les activites de formation de la main-d'oeuvre representent un facteur economique primordial. Or, la presente etude de Statistique Canada fait ressortir une stagnation de ces activites de formation au Canada, ce qui peut constituer un recul dans la position concurrentielle de ce pays en matiere economique. L'objectif de l'etude est de dresser un portrait complet de l'apprentissage des adultes, allant de la participation a des formes d'apprentissage structurees (formel ou non formel) jusqu'a l'apprentissage non structure, dit informel. Les donnees de l'etude sont tirees de l'Enquete sur la litteratie et les competences des adultes (ELCA 2003) et de l'Enquete internationale sur l'alphabetisation des adultes (EIAA 1994-1998) et permettent de comparer la situation prevalant au Canada avec celles de trois autres pays : la Suisse, la Norvege et les Etats-Unis. Les auteurs concluent sur la necessite de revoir les politiques publiques canadiennes en matiere d'apprentissage des adultes afin de maintenir les avantages economiques reposant sur son capital humain.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.005
Scholarly communication0.0000.001
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 head0.028
GPT teacher head0.334
Teacher spread0.306 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2007
Admission routes1
Has abstractyes

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Same topicFrench Language Learning MethodsFrench-language works237,207