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Record W2097333525

Microcredit and Innovative Local Development in Fortaleza, Brazil: The case of Banco Palmas 1

2008· article· en· W2097333525 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Regional Science · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsEconomyEconomic growthPolitical sciencePovertyPopulationGeographyHumanitiesSociologyEconomicsArt
DOInot available

Abstract

fetched live from OpenAlex

This article describes the history of Banco Palmas, a particular Brazilian microcredit undertaking initiated about ten years ago by a neighbourhood association representing 30,000 inhabitants located in a very poor district of North-Eastern Brazil. Combining three innovative mechanisms--social currency, professional training, and local consumption and production mapping--Banco Palmas has developed a local, home-grown methodology to scale down microcredit and foster social development. > Cet article decrit l'histoire de Banco Palmas, une experience particuliere de microcredit lancee au Nord-est bresilien il y a dix ans par une association de quartier qui represente 30 000 habitants a revenus modestes. Conjuguant trois mecanismes innovateurs--monnaie sociale, formation professionnelle et cartographie de la production et de la consommation locales--Banco Palmas a elabore et ancre localement une methodologie qui adapte le microcredit et soutient le developpement social. Introduction Microcredit is increasingly perceived as a powerful instrument for poverty reduction and income generation for low-income population segments in developing countries. The United Nations' proclamation of 2005 as the International Year of Microcredit, as well as the Nobel Peace Prize awarded in 2006 to Muhammad Yunus, are both clear signs of this recognition. Within this international context, and beginning in 1999, the Brazilian government launched a number of regulatory measures aimed at promoting microcredit. As a result, in recent years, an incipient Brazilian microcredit industry has started to flourish, with a variety of microcredit programs being led by NGOs, by for-profit organizations, and even by mainstream banks. However, as the country does not have a strong tradition of microcredit or know-how in the area, most of these newly emerged operations are based on the implementation of microcredit best or methodologies imported from other countries. No matter how successful such practices might have been in their original settings, the extent to which their simple replication can achieve satisfactory results in such a complex geo-economic environment is a question that still calls for debate. So far, despite almost ten years of policy efforts, Brazilian microcredit penetration rates still rank among the lowest in the world. This paper describes one particular Brazilian microcredit initiative which, unlike most of its counterparts, has developed a local, home-grown methodology to scale microcredit and foster social development. The experience, called Banco Palmas, was initiated about ten years ago by ASMOCONP (Associacao dos Moradores do Palmeiras), the neighbourhood association of Conjunto Palmeiras, a peri-urban slum district of 30,000 inhabitants located on the outskirts of Fortaleza, the capital of the state of Ceara, in North-Eastern Brazil. What mainly differentiates Banco Palmas from conventional microcredit initiatives is its preoccupation with sustainable territorial development, rather than with the success of individual microentrepreneurs. In technical terms, while virtually all Brazilian microcredit organizations adopt what is called a minimalist model of microcredit, Banco Palmas has developed a more integrated approach (Ledgerwood 1999; Nitin and Tang 2001; Woller and Woodworth 2001). The aim of this paper is, therefore, to provide a concrete illustration of a socially and historically situated microcredit initiative that, due to its innovative nature, we believe is worth studying as a possible model for Brazilian and Latin-American microcredit organizations and policymakers. Out research question consists in identifying how the Banco Palmas' integrated microcredit approach was historically developed, how the project is currently applied, and how it affects the local community of Palmeiras. …

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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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.036
GPT teacher head0.227
Teacher spread0.191 · 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