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Record W4387672363 · doi:10.15185/glmlic.3416.1

G2LM|LIC - Entrepreneurship Education and Teacher Training in Rwanda

2023· article· en· W4387672363 on OpenAlexaff
Moussa P. Blimpo, Todd Pugatch

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTraining (meteorology)EntrepreneurshipEntrepreneurship educationMedical educationBusinessPolitical scienceMathematics educationPedagogyPsychologyGeographyMedicineFinanceMeteorology

Abstract

fetched live from OpenAlex

An experiment across 207 secondary schools shall investigate, how a comprehensive teacher training program affects the delivery of a major entrepreneurship curriculum reform in Rwanda. The reform introduced interactive pedagogy and a focus on business skills in the country's required upper secondary entrepreneurship course. In addition to the government's standard training, a random sample of schools received intensive training organized by an NGO for two years. The training consisted of (i) six training sessions during school breaks, ii) exchange visits each term where teachers provided feedback to their peers, and (iii) outreach and support from NGO staff at least twice per year. The program increased teachers' use of active instruction, consistent with the reform's features. These effects on pedagogy did not translate into improvements in student academic outcomes or skills. Treated students increased their participation in businesses by 5 percentage points, or 17% of the control mean, with a commensurate decrease in wage employment, and no effect on overall income. These results suggest substitution between entrepreneurship and employment among students in treated schools.

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)0.000
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 score0.665
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.060
GPT teacher head0.329
Teacher spread0.268 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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