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Record W4414617977 · doi:10.5539/jel.v15n1p172

Policy Recommendations for Learning Encouragement of District Learning Encouragement Centers Under the Department of Learning Encouragement

2025· article· en· W4414617977 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Education and Learning · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Reforms and Inequalities
Canadian institutionsnot available
Fundersnot available
KeywordsNonprobability samplingPromotion (chess)Active learning (machine learning)Stratified samplingLifelong learningSample (material)School districtOpen learningSocial learning

Abstract

fetched live from OpenAlex

The research aimed to introduce policy proposals for learning promotion at the District Learning Encouragement Centers under the Department of Learning Encouragement. The research consisted of three phases: Phase 1 involved studying the current situation, desired conditions, and necessary needs to draft policy proposals for promoting learning at the District Learning Encouragement Centers. The sample consisted of 1,368 administrators and teachers from the Department of Learning Encouragement, selected through multi-stage random sampling using stratified sampling principles, and studying three cases. The target group included nine school administrators and teachers chosen through purposive selection. Phase 2 focused on drafting policy proposals for promoting learning at the District Learning Encouragement Centers through expert-based seminars. The target group consisted of 11 selected experts. Phase 3 involved reviewing and holding public consultations on the policy proposals for promoting learning at the District Learning Encouragement Centers. The target group consisted of 39 administrators, educational supervisors, and teachers selected through purposive selection. The research tools included questionnaires, interviews, and evaluation forms. The statistical methods were percentages, means, standard deviations, and content analysis. The research results indicated that the policy proposals for promoting learning at the District Learning Encouragement Centers included five key policy areas: vision promotion, lifelong learning promotion, social and community development, qualification-based learning promotion, and diverse learning promotion. The evaluation of the policy proposals for promoting learning at the District Learning Encouragement Centers overall indicated a high level of appropriateness, feasibility, and overall benefit across all aspects.

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.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.381
Teacher spread0.354 · 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