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RELAÇÃO ENTRE AS VARIAÇÕES DA LINHA DE COSTA E AS CARACTERÍSTICAS MORFODINÂMICAS DA PRAIA DA ARMAÇÃO, ILHA DE SANTA CATARINA

2019· article· pt· W2942820990 on OpenAlexaff
Anna Luiza Pacheco Dalbosco, Rodrigo do Carmo Barletta, Davide Franco

Bibliographic record

VenueGeociências · 2019
Typearticle
Languagept
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsASTER
Fundersnot available
KeywordsHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

A Praia da Armação, localizada no sudeste de Ilha de Santa Catarina, vem sofrendo nas últimas décadas um intenso processo erosivo em especial no setor central e sul da enseada. O objetivo deste estudo foi verificar a relação entre os padrões de deslocamento da linha de costa da Praia da Armação e suas características morfodinâmicas. Inicialmente foi realizado estudo de variação da linha de costa através de imagens aéreas de 1977, 1994, 2002 e 2009. Como caracterização morfológica foi levantada a granulometria em 5 pontos ao longo da enseada e 10 perfis praiais subaéreos em 2 períodos distintos. E, a partir de 30 anos (1980 – 2009) de dados de reanálise de ondas, caracterizou-se o clima de ondas atuantes na região nas últimas três décadas. As análises de perfis praiais e variação de linha de costa mostraram elevada instabilidade nestes aspectos morfológicos da praia ao longo do tempo. Os padrões de progradação e retração da linha de costa encontrados nas três décadas de estudo indicaram uma forte relação com o clima de ondas da região. Porém, se verifica uma perda líquida de sedimentos ao longo do tempo, que pode estar associada à intervenções antrópicas que alteraram a dinâmica natural da praia.

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)0.000
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.243

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.012
GPT teacher head0.253
Teacher spread0.241 · 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
Published2019
Admission routes1
Has abstractyes

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