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A cidade de Marabá sob o impacto dos projetos governamentais a partir de 1970

2008· dissertation· pt· W1641965309 on OpenAlexaff
José Jonas Almeida

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutionsImpact
Fundersnot available
KeywordsFlooding (psychology)Amazon rainforestGeographyPopulationState (computer science)Environmental planningSociologyDemography

Abstract

fetched live from OpenAlex

With newfound prospects brought on by the discovery of iron ore in the Serra dos Carajás (Carajás Range), in the south of the State of Pará, the Brazilian Fedral Government undertook a series of interventions in the city of Marabá, starting in 1970.Once the location of the city was deemed inadequate, as it was vulnerable to flooding from the Tocantins and Itacaiúnas Rivers, plans were made to move it to another site, now known as Nova Marabá.The population of the old city did not take to this idea, sinde they had already learned to live with the floods that affected them almost every year.The persistence of the pioneer Marabá and its inhabitants, who still lead the life of typical river dwelling populations throughout the Amazon region, also reveals the failure of a governmental planning policy out of touch with local reality and the accommodation reached by the inhabitants with a problem that ends up generating exorbitant costs for the State every year, the result of damage caused by the flooding.

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)0.001
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.278

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.003
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.331
Teacher spread0.296 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

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