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Record W1569823267 · doi:10.21225/d56k5q

Essor, chute, puis renaissance des études à temps partiel pour adultes à l’Université de Montréal

2011· article· en· W1569823267 on OpenAlexvenueaboutno aff
Scott McLean

Bibliographic record

VenueCanadian Journal of University Continuing Education · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsBachelorLifelong learningAdult educationContinuing educationSociologyThe artsService (business)PedagogyThe RenaissanceContext (archaeology)Political scienceHumanitiesMedical educationArtVisual artsHistoryArt historyMedicineLawBusiness

Abstract

fetched live from OpenAlex

In 1952, the University of Montréal established an Extension Service. One of the first initiatives of this service was to create a bachelor’s degree for part-time adult students. This initiative resulted in a struggle with the Faculty of Arts and, for a few years, the university prohibited the Extension Service from offering credits for its training. In 1968, the Extension Service was replaced by the Continuing Education Service. This new service quickly created approximately 50 university diplomas for part-time students, and became a faculty of its own in 1975. In 1980, one out of every six people who were studying at the University of Montréal was enrolled in the Faculty of Continuing Education. By drawing attention to these data, this paper enriches the literature pertaining to the history of adult education within the context of Canadian higher education. Based on this historical account, the paper questions the links between higher education, lifelong learning, and social inequality.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.079
GPT teacher head0.295
Teacher spread0.216 · 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.

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

Citations4
Published2011
Admission routes2
Has abstractyes

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