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Record W4389320113 · doi:10.55016/ojs/ajer.v64i2.56396

Adult Education in the Post-Secondary Context: Sustainability in the 21st Century

2018· article· fr· W4389320113 on OpenAlexaffvenue
Paul Kolenick

Bibliographic record

VenueAlberta Journal of Educational Research · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicSustainability in Higher Education
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsSustainabilityContext (archaeology)Social justiceSociologyRace (biology)Economic JusticeHumanitiesAdult educationPolitical scienceEthnologySocial scienceGender studiesGeographyPedagogyEcologyArtLaw

Abstract

fetched live from OpenAlex

The role of adult education is considered within the post-secondary context. In this paper, sustainability education, and particularly, the recent emergence globally of the United Nations University’s Regional Centres of Expertise (RCEs) provides an example of how adult education may continue to serve in the 21st century, an era that has already proven itself in peril with issues of social and environmental justice – spanning wide ranging challenges of gender, race, and ecology. Le rôle de l’éducation des adultes est étudié dans le contexte postsecondaire. Dans cet article, l’éducation au développement durable et notamment l’émergence récente sur l’échelle mondiale des Centres régionaux d’expertise de l’Université des Nations Unies, offre un exemple de la mesure dans laquelle l’éducation des adultes peut continuer à être utile au 21e siècle, époque qui s’est déjà avérée aux prises avec des problèmes de justice sociale et environnementale qui couvrent un vaste éventail de défis liés au genre, à la race et à l’écologie. Mots clés : éducation postsecondaire, interdisciplinarité, implication communautaire, éducation au développement durable, Centres régionaux d’expertise

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0040.002
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.035
GPT teacher head0.436
Teacher spread0.401 · 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 designTheoretical or conceptual
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
Published2018
Admission routes2
Has abstractyes

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Same venueAlberta Journal of Educational ResearchSame topicSustainability in Higher EducationFrench-language works237,207