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O papel do microcrédito para os empreendedores no município de Taquara

2016· article· pt· W2559806390 on OpenAlexaff
Dilani Silveira Bassan, Marília Beck

Bibliographic record

VenueRevista Grifos · 2016
Typearticle
Languagept
FieldEnvironmental Science
TopicRural Development and Agriculture
Canadian institutionsMicrosemi (Canada)
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

O microcrédito é um programa implantado no município de Taquara em 2012 e atende aos micros e pequenos empreendedores que buscam alternativas de crédito para os seus negócios, sejam formais ou informais. Por meio de pesquisa realizada com empreendedores atendidos no primeiro semestre do ano de 2013 e com agente de microcrédito, objetivou-se conhecer o papel do microcrédito para os empreendedores do município, sua utilização nos negócios e em que medida há um número crescente de interessados na adesão ao programa. Os resultados da pesquisa demonstraram que o microcrédito tem sido uma alternativa de crédito importante para os sujeitos investigados, na medida em que os recursos são investidos predominantemente em capital fixo e cuja adesão só faz aumentar, dado o sucesso que proporciona aos negócios daqueles que o contratam. Também verificou-se que a aceitação crescente do programa ocorre pelo fato de que este trata-se de um meio de crédito acessível aos pequenos negócios, dada a taxa de juros diferenciada e o tratamento simplificado para conceder o crédito aos interessados.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.123
Threshold uncertainty score0.245

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.219
Teacher spread0.209 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2016
Admission routes1
Has abstractyes

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