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Record W2002251154 · doi:10.5558/tfc86730-6

First Nations’ involvement in forest governance in Québec: The place for distinct consultation processes

2010· article· en· W2002251154 on OpenAlexafffundvenueabout
Stephen Wyatt, Jean-François Fortier, Catherine Martineau-Delisle

Bibliographic record

VenueThe Forestry Chronicle · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité LavalUniversité de Moncton
FundersCanadian Forest ServiceUniversité LavalNatural Resources CanadaSocial Sciences and Humanities Research Council of CanadaU.S. Forest ServiceFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsCorporate governanceDutyPolitical scienceForest managementPublic participationPublic administrationIdentification (biology)Process (computing)Public relationsEnvironmental resource managementForestryBusinessGeographyEcologyLawFinanceEconomics

Abstract

fetched live from OpenAlex

Aboriginal peoples in Canada present a special case of citizen involvement in forest governance, with rights and statusthat go beyond those of other stakeholders and individuals. Increasingly, participation processes aimed specifically atAboriginal representatives are being used to encourage their involvement in forest management. This article asks whatwould be the characteristics of a distinct process that could respond to Aboriginal rights, needs and expectations. We doso by combining the results of a broad Québec-wide study with those from a case study of forestry participation in a singlecommunity. A total of 68 consultation processes are analyzed. These experiences enable the identification of severalcharacteristics of consultation processes used for First Nations. We also note that distinct consultations typically reflectthe same practices that are used more generally for public participation in forestry, raising the question of whether or notthese consultations truly respond to Aboriginal rights, needs and expectations in Québec.Key words: Aboriginal peoples, Aboriginal forestry, forest management, public participation mechanisms, duty to consult,Canada

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.834
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.265
Teacher spread0.243 · 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 teacher head, 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

Citations21
Published2010
Admission routes4
Has abstractyes

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