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Record W2561208360 · doi:10.4000/orda.3032

As representações territoriais e o processo de gestão do semiárido brasileiro (Sertão), 1985-2016

2016· article· pt· W2561208360 on OpenAlexaff
Sidclay Pereira

Bibliographic record

VenueL’Ordinaire des Amériques · 2016
Typearticle
Languagept
FieldEnvironmental Science
TopicRural Development and Agriculture
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

O objeto de estudo deste artigo é o semiárido brasileiro comumente conhecido como sertão. Por ser uma região com condições climáticas caracterizadas por regime hídrico irregular, as secas são periódicas. Entretanto, como cerca de 58% da população brasileira em situação de pobreza habita na região semiárida, associou-se, historicamente, que a pobreza é consequência das secas. Posto isto, objetiva-se aqui analisar a gestão territorial implementada do semiárido, buscando entender a ação estatal e da sociedade civil organizada. Para isso, se fez uso de um referencial teórico calcado na visão do Estado, nas representações territoriais e nas discussões de autores brasileiros que estudam o semiárido. Foi possível identificar as representações territoriais que nortearam o modelo de gestão do território semiárido brasileiros durante o período 1985‑2016, bem como aponta-se a necessidade de uma possível superação desse modelo que, até o momento, não logrou sucesso.

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)0.000
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.008
GPT teacher head0.242
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; 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

Citations1
Published2016
Admission routes1
Has abstractyes

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