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Record W7134514809

21st Century Learning AND NCTVET

2022· other· en· W7134514809 on OpenAlexaff
Rainess La-Gloria Simpson

Bibliographic record

VenuecIRcle (University of British Columbia) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
FundersMinistry of Education, IndiaDivision of Chemical, Bioengineering, Environmental, and Transport SystemsTertiary Education CommissionUnited States Agency for International Development
KeywordsVocational educationCurriculumFamily and consumer scienceEconomics educationExperiential learningActive learning (machine learning)
DOInot available

Abstract

fetched live from OpenAlex

This paper argues that 21st Century Learning is one way to enhance home economics related vocational courses in Jamaica. It makes the case for including the 4Cs of 21st Century Learning (critical thinking, communication, cooperation, and creativity) in Jamaica's National Council on Technical and Vocational Education and Training (NCTVET) Home Economics related vocational curricula then it examines the current mandated curricula for evidence of the 4Cs. The purpose of this inquiry was to determine to what extent are the 4Cs evident in the instructional content of the NCTVET Home Economics related syllabi, to make recommendations to improve the implementation of the 4Cs within NCTVET Home Economics courses.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.080
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.006
GPT teacher head0.170
Teacher spread0.164 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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