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Record W4386976934 · doi:10.1002/ace.20499

Toward capabilities for adult working learners in Canada and the United States

2023· article· en· W4386976934 on OpenAlexaffabout
Gavin Moodie, Leesa Wheelahan, Debra D. Bragg

Bibliographic record

VenueNew Directions for Adult and Continuing Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Learning Practices
Canadian institutionsInstitute for Christian StudiesUniversity of Toronto
Fundersnot available
KeywordsVocational educationCertificationPostsecondary educationAdult educationCurriculumLicensurePedagogyPolitical sciencePublic relationsMedical educationHigher educationPsychologySociologyMedicine

Abstract

fetched live from OpenAlex

Abstract This article focuses on adult working learners who attend postsecondary institutions in Canada and the United States. We identify how these institutions deliver curriculum and instruction in the form of career‐technical education (CTE) and vocational education offering occupational credentials. In British Columbia and the U.S., most vocational programming culminates in the associate degree whereas the rest of Canada commonly confers diplomas as well as associate degrees. Other postsecondary credentials, including certifications and licensure, are integrated within programs in both countries. This chapter analyzes policies, programs, and practices for adult working learners in the two countries and provides perspectives on how a focus on the capabilities of adult working learners is beneficial to the needs of the individual, communities, and society as a whole.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.316
Teacher spread0.294 · 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 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 routes2
Has abstractyes

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