MétaCan
Menu
Back to cohort

Citizenship development through vocational training: British Columbia Rural Youth Training School, 1947–1959

2012· article· en· W305523866 on OpenAlexaffabout
Scott McLean, Jyoti Gondek

Bibliographic record

VenueStudies in the Education of Adults · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsVocational educationCitizenshipCurriculumPromotion (chess)Training (meteorology)PedagogySociologyAdult educationActive citizenshipPolitical scienceRural areaCurriculum developmentEconomic growthPublic relationsPoliticsLaw

Abstract

fetched live from OpenAlex

This article inspires critical and creative thinking about the promotion of citizenship development through programmes of study designed primarily to enhance adults' vocational skills. It does so through presenting an empirical case study of an important adult education programme delivered by the Department of University Extension at the University of British Columbia in the 1940s and 1950s. The ‘Youth Training School’ was funded by the governments of Canada and British Columbia to provide vocational training to young men and women from rural areas. While the curriculum of the school was focused on agriculture and home economics, its residential character and the structure of its extracurricular activities led to significant opportunities for citizenship development among its participants. This article contributes both to the history of adult education, and to the understanding of contemporary possibilities for citizenship education in contexts where official attention and resources are focused on vocational goals. It argues that vocational training and citizenship development are not mutually exclusive, that citizenship education is not necessarily progressive, and that the structure of educational experience is as important as the substantive content of lessons in the promotion of citizenship.

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 score0.580
Threshold uncertainty score0.867

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 studies0.0010.001
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 head0.109
GPT teacher head0.333
Teacher spread0.224 · 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

Citations0
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueStudies in the Education of AdultsSame topicCanadian Identity and HistoryFrench-language works237,207