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Record W4220883747 · doi:10.1111/gove.12678

Co‐financing community‐driven development through informal taxation: Evidence from south‐central Somalia

2022· article· en· W4220883747 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

VenueGovernance · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsUniversity of TorontoGlobal Affairs Canada
Fundersnot available
KeywordsLegitimacyMatching (statistics)Context (archaeology)Corporate governancePublic goodState (computer science)Government (linguistics)Local governmentService (business)Public administrationPublic economicsBusinessPolitical scienceEconomic growthFinanceEconomicsPoliticsMicroeconomicsMarketing

Abstract

fetched live from OpenAlex

Abstract Community contributions are often required as part of community‐driven development programs, with contributions encouraged through matching grants. However, little remains known about the impact of matching grants or the implications of requiring community contributions—also known as informal taxation. We explore this research gap through a randomized control trial of a matching grant program in Gedo region in south‐central Somalia. We find that matching grants can increase informal taxation and serve as an effective means of delivering public goods. Moreover, we find that the program strengthened local government legitimacy, despite the local government playing no direct role in the program. These findings deepen our understanding of how matching grants may contribute to community‐driven development in a context of weak institutional capacity, while pointing to potential complementarities between state and non‐state actors in governance and service provision, formal and informal institutions, and formal and informal taxation.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.056
GPT teacher head0.235
Teacher spread0.180 · 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