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Record W198414402 · doi:10.11137/2010_2_74-86

Mineração versus Paleontologia: uso e ocupação da serra do Veadinho em Peirópolis - Uberaba, Estado de Minas Gerais (Brasil)

2010· article· en· W198414402 on OpenAlexaboutno aff
Wellington Francisco Sá dos Santos, Ismar de Souza Carvalho, Antônio Carlos Fernandes

Bibliographic record

VenueAnuário do Instituto de Geociências · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeotourism and Geoheritage Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)CretaceousGeographyArchaeologyPopulationContext (archaeology)GeologyPaleontologyDemography

Abstract

fetched live from OpenAlex

Peirópolis is a quarter located in Uberaba County (Minas Gerais State) that has an extraordinary paleontological site of the Late Cretaceous period. This area has many vertebrate fossils, mainly dinosaurs. A great amount of these fossils were found in sandstones of the serra do Veadinho. However, a lower limestone level was economically mining by European's immigrants between 1890 and 1960. In this period, the explotation was accomplished through manual exploration's techniques contributing to the discovery of fossils. Although, in 1987, the mineral explotation was conducted through mechanical techniques, causing environmental impacts and fossil destruction. Therefore, a judicial dispute has started to the use and occupation of the area between the miner activity, local population and geoscientists. Nowadays, the area is for exclusive use of the paleontological research and, in the future, touristic activity. In this context, was analysed a historic review of the use and occupation of serra do Veadinho to examine the compatibility between miner activity and paleontological research.

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)0.003
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: none
Teacher disagreement score0.070
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0010.001
Scholarly communication0.0010.001
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 head0.024
GPT teacher head0.249
Teacher spread0.225 · 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
Published2010
Admission routes1
Has abstractyes

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