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Record W2247707509 · doi:10.12660/gvcasosv5n2c11

Adel: jovens no semiárido cearense criando tecnologias sociais

2015· article· pt· W2247707509 on OpenAlexaff
Ana Clara Aparecida Alves de Souza, Marlei Pozzebon, José Carlos Lázaro da Silva Filho

Bibliographic record

VenueRevista Brasileira de Casos de Ensino em Administração · 2015
Typearticle
Languagept
FieldEnvironmental Science
TopicRural Development and Agriculture
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Neto Ribeiro decide deixar seu emprego em Fortaleza e volta para sua terra natal - Pentecoste - para tentar desenvolver seu próprio empreendimento rural, apesar de todas as dificuldades inerentes ao semiárido cearense. O caso destaca os trabalhos desenvolvidos pela Agência de Desenvolvimento Econômico Local (ADEL) através de programas destinados a agricultores familiares e jovens empreendedores rurais, residentes na região. O caso é indicado para disciplinas de inovação social, que promovam discussões a respeito do papel das tecnologias sociais para promover transformações sociais e do desafio de transferi-las ou reaplicá-las em novos territórios. DOI: 10.12660/gvcasosv5n2c11http://dx.doi.org/10.12660/gvcasosv5n2c11

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 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.008

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 head0.037
GPT teacher head0.272
Teacher spread0.235 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2015
Admission routes1
Has abstractyes

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