MétaCan
Menu
Back to cohort
Record W3061719305 · doi:10.5539/jms.v10n2p15

The Use of Digester and the Spread of Sustainable Actions in Semiarid Region of Ceará

2020· article· en· W3061719305 on OpenAlexvenueno aff
José Falcão Sobrinho, Vanessa Campos Alves, Thaylany Matias Magalhães, Gilmário Rodrigues do Nascimento, Emanuela Lima Lutif Pinto

Bibliographic record

VenueJournal of Management and Sustainability · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Sustainability and Education
Canadian institutionsnot available
FundersConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsProduction (economics)Natural resource economicsNatural resourceBusinessRenewable energySustainable developmentAutonomyRenewable resourcePopulationEnvironmental planningGeographyEconomicsPolitical scienceEngineeringSociology

Abstract

fetched live from OpenAlex

The objective of this manuscript is to present comments about the social technology involving the production of renewable energy using the digesters implemented by the Paulo Freire project in some country estates in Massapê and Jordão. For this, visits were necessary for these two municipalities, where it is possible to realize the importance of these digesters for the local people. Furthermore, some aspects affect the production in the field, such as the interaction among types of social technology and the importance of available natural resources for obtaining results that impact positively on the local economy and sustainable rural development. The diffusion of rural and environmentally sustainable development actions goes through the guarantee of resources for the development and autonomy of the population.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.088
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.229
Teacher spread0.211 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Management and SustainabilitySame topicEnvironmental Sustainability and EducationFrench-language works237,207