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Record W6991001268

Evolução e diferenciação dos sistemas agrários de Cristal-RS

2017· other· pt· W6991001268 on OpenAlexaboutno aff

Bibliographic record

VenueLume (Universidade Federal do Rio Grande do Sul) · 2017
Typeother
Languagept
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Amazon rainforestNova scotia
DOInot available

Abstract

fetched live from OpenAlex

O presente trabalho permitiu identificar a diferenciação e a evolução da história agrária do município de Cristal, Rio Grande do Sul. Igualmente, permitiu fazer uma análise sobre os diferentes sistemas de produtivos atuais e a sua relação com o passado, procurando compreender as transformações das propriedades e origem das famílias que fizeram parte da formação do município. Com a reconstituição foram identificados seis sistemas agrários diferentes que iniciam com o sistema agrário indígena (até1750), estruturado na caça, pesca e agricultura de queimada; sistema agrário do período colonial (1750 a 1900), estruturado na pecuária extensiva e na extração de erva-mate; sistema agrário da região costeira (1900 a 1950), com pecuária extensiva e agricultura comercial do arroz irrigado; sistema agrário da região da serra com agricultura colonial, (1900 a1950); sistema atual da região costeira (a partir de 1950), com agricultura comercial do arroz irrigado e pecuária extensiva do agronegócio e sistema agrário atual da região da serra (a partir de 1950), com destaque para a cultura comercial do fumo. A Região da Serra é composta por de agricultores familiares com pequenas propriedades que se dedicam a cultura do tabaco, principal atividade econômica, seguidos de bovinocultura de leite milho, feijão, batata e outras culturas de subsistência. A região situada na várzea com médias e grandes propriedades remanescentes das estancias com as atividades voltadas para o cultivo de arroz, soja e pecuária de corte, com mão de obra terceirizada ou arrendada para os próprios agricultores familiares.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.342
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0050.006
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0030.002
Science and technology studies0.0060.002
Scholarly communication0.0060.002
Open science0.0070.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0350.041

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 head0.255
Teacher spread0.237 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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