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Record W4360989266 · doi:10.53967/cje-rce.5679

No “haughty and inaccessible ivory tower”: Laval University and Adult Education, 1930–1965

2023· article· en· W4360989266 on OpenAlexaffvenueabout
Scott McLean

Bibliographic record

VenueCanadian Journal of Education / Revue canadienne de l éducation · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Education Studies Worldwide
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIvory towerRelevance (law)SociologyPedagogyInclusion (mineral)Promotion (chess)Public relationsInstitutionHigher educationDiversity (politics)Work (physics)Equity (law)Political scienceSocial scienceEngineeringLaw

Abstract

fetched live from OpenAlex

Canadian universities today assert their social relevance through highlighting processes such as community engagement, knowledge mobilization, and the promotion of equity, diversity, and inclusion. Much can be learned about such processes through examining an era in which Canadian universities asserted their social relevance through another vocabulary: that of adult education and extension. This article provides a case study of adult education work undertaken at Laval University from 1930 through 1965. Through reconstructing programs and practices at Laval, this article offers insight into past and present efforts of universities to pursue educational objectives with which they are not traditionally associated. The article narrates an important chapter in Canadian educational history, and also elucidates five lessons of importance to contemporary educational scholars and leaders: beware of institution-centric thinking, know how you can help people make a living, partner with external organizations, play to your institutional strengths, and serve and learn from others.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.973
Threshold uncertainty score0.953

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0270.020
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.026
GPT teacher head0.283
Teacher spread0.256 · 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.

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

Citations2
Published2023
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Education / Revue canadienne de l éducationSame topicHistorical Education Studies WorldwideFrench-language works237,207