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Ejigabwîn: A silvicultura na encruzilhada em Kitcisakik

2014· article· pt· W2196647222 on OpenAlexaffabout
Marie Saint‐Arnaud, Charlie Papatie

Bibliographic record

VenueInterethnic - Revista de Estudos em Relações Interétnicas · 2014
Typearticle
Languagept
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsHumanitiesPolitical scienceContext (archaeology)GeographyForestryArtArchaeology

Abstract

fetched live from OpenAlex

A floresta se encontra no coração da paisagem cultural dos Anichinabés de Kitcisakik, no Canadá. Da mesma forma que para numerosas nações autóctones deste país, o território ancestral desta comunidade algonquina da Província do Quebec tem sido objeto de contínuas intervenções florestais desde o final do século xix. Para enfrentar esta problemática, o povo de Kitcisakik escolheu se envolver em um processo de pesquisa colaborativa, apoiado por um quadro de referência em educação ambiental. Esta iniciativa permitiu iniciar um diálogo intercultural tendo como objetivo definir os fundamentos de uma silvicultura mais bem adaptada ao contexto indígena. A pesquisa revelou o caráter identitário da floresta (nopimik) para os Anichinabés e a dimensão preocupante da silvicultura. A partir do sistema de representação anichinabé, elaboramos um quadro de cinco princípios (cultural, ético, educativo, ecológico e econômico) e de 22 critérios de silvicultura indígena. Esta proposta é analisada no contexto das mudanças normativas e legislativas implementadas no Quebec pela nova Lei sobre o ordenamento sustentável do território florestal e o reforço dos critérios de certificação florestal do Forest Stewardship Council (FSC).

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)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.003

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 head0.047
GPT teacher head0.317
Teacher spread0.269 · 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 designNot applicable
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

Citations0
Published2014
Admission routes2
Has abstractyes

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