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Record W2118301390 · doi:10.5380/rf.v43i3.28280

PANORAMA DA INDÚSTRIA DE CELULOSE E PAPEL NO BRASIL: 2001 a 2011

2013· article· pt· W2118301390 on OpenAlexaboutno aff
Maritzel Ríos Fuentes Coelho, Marcio Henrique Coelho

Bibliographic record

VenueFLORESTA · 2013
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicAgricultural and Food Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultural scienceHumanitiesBusinessPolitical scienceArtBiology

Abstract

fetched live from OpenAlex

Este artigo visa estabelecer um panorama da indústria de celulose e papel sediada no Brasil, evidenciando o desempenho de algumas variáveis importantes para análise do setor, tais como a capacidade de produção, os tipos de produtos, as magnitudes das exportações e das importações e o destino das exportações, o nível e a capacidade de utilização e o preço médio das exportações no período de 2001 a 2011. Para tanto, foram utilizados dados do Ministério do Desenvolvimento, Indústria e Comércio Exterior (MDIC, 2012), da Associação Brasileira de Celulose e Papel (BRACELPA, 2011) e da Organização das Nações Unidas para Alimentação e Agricultura (FAO, 2011). No geral, os resultados revelam que a indústria de celulose vem ganhando espaço no âmbito do comércio internacional, diante de uma nova redistribuição espacial da produção, em função do obsoletismo das indústrias europeias, norte-americanas e canadenses e da inserção da celulose de fibra curta nos diferentes estágios de produção. No caso da indústria de papel, os indicadores apontam um cenário não tão promissor, diante do acirramento da concorrência internacional, embora o mercado interno possa vir a se constituir num grande impulso para a indústria local. AbstractOverview of the pulp and paper industry in Brazil: 2001/2011. This research aims to analyze the performance of the Brazilian pulp and paper industry, from 2001 to 2011, towards the main variables for the sector analysis, such as production capacity, sort of products, magnitude of exports, imports, destination of exports, level and capacity of utilization, and the average price of exports. In order to that, it used primary data from Ministry of Development, Industry and Foreign Trade (MDIC, 2012), Brazilian Association of Pulp and Paper (BRACELPA, 2011) and Food and Agriculture Organization of the United Nations (FAO, 2011). In general, results indicate that cellulose industry has gained importance in international trade, before a new spatial redistribution of production, according to the obsolescence of European, North American and Canadian industries, and the insertion of hardwood pulp in different stages of production. In relation to the paper industry, the results suggest a scenario not as promising as for the pulp one, even though domestic market may constitute a major boost to the industry.Keywords: Forests; forest economics; exports; international trade.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.232
Threshold uncertainty score0.461

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.009
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.033
GPT teacher head0.229
Teacher spread0.196 · 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

Citations3
Published2013
Admission routes1
Has abstractyes

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