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Record W3153103762 · doi:10.1111/rode.12706

Beyond technical skills training: The impact of credit counseling on the entrepreneurial behavior of Ugandan youth

2020· article· en· W3153103762 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueReview of Development Economics · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsEntrepreneurshipInvestment (military)Intervention (counseling)FinanceControl (management)Credit riskBusinessCredit historyEconomicsPsychologyPolitical scienceManagement

Abstract

fetched live from OpenAlex

Abstract There is low take‐up of financial credit among youth in Uganda because potential beneficiaries perceive associated risks as high. This study assesses the determinants of entrepreneurial risk tolerance among Ugandan youth using experimental data from a randomized control trial and a real‐life investment‐risk experiment. Credit counseling was provided to young men and women aged 18–35 who owned a business to educate them about the obligations and commitments associated with financial credit. The intervention had a significant impact on demand for credit and related intermediate outcomes such as ownership of a bank account and investment in assets. The study finds that youth exhibited lower demand for credit after business training because of increased awareness regarding the actual risks associated with receiving credit. Our findings reinforce national strategies to promote soft skills for business entrepreneurship that extend beyond standard business training.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.430
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.049
GPT teacher head0.257
Teacher spread0.208 · 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