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Record W4415127446 · doi:10.1080/23322039.2025.2570790

Relationship between financial transfers and multidimensional poverty during the Covid-19 pandemic in Burkina Faso

2025· article· en· W4415127446 on OpenAlex
Wendeyida Kiendrebeogo, Pam Zahonogo, Windinkonté Séogo

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.

fundA Canadian funder is recorded on the work.
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

VenueCogent Economics & Finance · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIncome, Poverty, and Inequality
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsPovertyGovernment (linguistics)PandemicSurvey data collectionFinancial crisisIndex (typography)Transfer (computing)

Abstract

fetched live from OpenAlex

Financial transfers received by households during the pandemic crisis are perceived as altruistic behavior within the population. The aim of this article is to analyze the relationship between financial transfers and multidimensional poverty during the Covid-19 pandemic in Burkina Faso. The multidimensional poverty index (MPI) was constructed following Alkire and Foster. A linear regression model was used to analyze data collected on 423 households which have been selected in the two main cities impacted by the pandemic. The results show on the one hand that family financial transfers reduce multidimensional poverty deprivation scores. Government financial transfers, on the other hand, have no significant effect on multidimensional poverty deprivation scores. The results suggest that decision makers should step up social transfer policies for poor households during crises such as Covid-19.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.646

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.054
GPT teacher head0.313
Teacher spread0.259 · 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