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Record W2737643334 · doi:10.13083/reveng.v25i1.736

“ESTADO DA ARTE” SOBRE AS PUBLICAÇÕES CIENTÍFICAS ENVOLVENDO O TRABALHO AGRÍCOLA FAMILIAR NO BRASIL SOB O PONTO DE VISTA ERGONÔMICO

2017· article· pt· W2737643334 on OpenAlexaff
Rosária Cal Bastos, Amélia Carla Sobrinho Bifano

Bibliographic record

VenueRevista Engenharia na Agricultura - REVENG · 2017
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsCola (plant)HumanitiesPolitical sciencePhilosophyMedicine

Abstract

fetched live from OpenAlex

O trabalho agrícola é uma atividade que requer esforço físico e demanda alto consumo de energia humana. Este artigo tem por objetivo analisar as produções científicas nacionais sobre a Ergonomia do Trabalho Agrícola Familiar do Brasil nos dias atuais. Para tanto, foi utilizado o método da revisão integrativa da literatura por meio de busca on-line nos Periódicos da Capes, Scientific Electronic Library Online e Google Acadêmico, considerando-se as publicações entre 2005 a 2015. Foram identificadas vinte e duas publicações que abordaram à temática de interesse, porém, é limitado o número de pesquisas que relacionam diretamente as questões relativas ao trabalho agrícola familiar sob a perspectiva da ergonomia. Existem, sim, mais pesquisas voltadas para a Análise da Ergonomia do Trabalho no que refere ao uso de equipamentos, ferramentas, operação de tratores e máquinas agrícolas diversas.

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)0.009
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.094
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0050.008
Science and technology studies0.0030.005
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.026
GPT teacher head0.259
Teacher spread0.234 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations6
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueRevista Engenharia na Agricultura - REVENGSame topicAgriculture and Farm SafetyFrench-language works237,207