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Record W6991082230

Étude qualitative des enjeux et des critères d'évaluation des projets d'aménagement forestier durable

2019· other· fr· W6991082230 on OpenAlexaboutno aff

Bibliographic record

VenueSémaphore (Université du Québec à Rimouski) · 2019
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Work (physics)Subject (documents)Identification (biology)
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ: Dans les pays engagés dans le développement durable, l'aménagement forestier fait partie des préoccupations majeures. En effet, les forêts sont une source d'avantages économiques, sociaux et environnementaux?; et les parties prenantes à ces avantages sont multiples, avec des intérêts souvent opposés. Ce travail a pour but principal de construire une hiérarchie de critères d'évaluation pour les projets d'aménagement forestier, basée sur les préférences et les enjeux des parties prenantes. Cela s'est fait par le biais d'un travail de terrain sur l'unité d'aménagement forestier 027-51 du Québec. Ce travail est une recherche qualitative avec une approche empirique. Nous avons effectué 19 entrevues individuelles semi-dirigées sur le terrain. Les participants à ces entrevues représentent différentes parties prenantes : des organisations environnementales, l'industrie forestière, l'industrie touristique, l'industrie de la biomasse, le milieu régional, des représentants syndicaux, et des experts du Bureau du Forestier en chef. Les entrevues avaient pour but de recueillir les enjeux et de valider la liste de critères d'évaluation construite à partir de la littérature. L'analyse de contenu a été utilisée pour analyser les résultats des entrevues et dégager les enjeux des participants. Nous avons également conduit une revue de littérature et dressé une liste des critères et indicateurs utilisés à travers le monde pour l'évaluation et la sélection des projets d'aménagement forestier. À la lumière des résultats des entrevues et de la littérature, nous proposons une hiérarchie de critères d'évaluation des scénarios d'aménagement forestier. Les résultats montrent que les enjeux les plus importants sont des enjeux de conservation de la biodiversité, d'adaptation aux changements climatiques, d'harmonisation des usages, mais aussi de maintien de l'activité économique et de production de bois. -- Mot(s) clé(s) en français : Développement durable, Aménagement forestier durable, Participation, Aide multicritère à la décision, Critères et indicateurs. -- ABSTRACT: In countries that are committed to sustainable development, forest management is a major concern. Forests are a source of economic, social and environmental benefits; and the stakeholders to these benefits are multiple, with often conflicting interests. The main purpose of this work is to build a hierarchy of evaluation criteria for forest management projects, based on the preferences and stakes of the stakeholders. This was done through fieldwork in the 027-51 forest management unit in Quebec. This work is a qualitative research with an empirical approach. We conducted 19 individual interviews in the field. The participants in these interviews represent different stakeholders: environmental organizations, the wood industry, the tourism industry, the biomass industry, the regional community, union representatives, and experts from the Chief Forester's Office. The purpose of the interviews was to gather the stakes and develop a list of evaluation criteria built from the literature. Content analysis was used to analyze the interviews results and identify participants' stakes. We also conducted a literature review and compiled a list of criteria and indicators used throughout the world for evaluating and selecting forest management projects. Based on the results of the interviews and the literature, we propose a hierarchy of criteria for evaluating forest management scenarios. The results show that the most important stakes are the stakes of biodiversity conservation, adaptation to climate change, harmonization of uses, but also maintenance of economic activity and wood production. -- Mot(s) clé(s) en anglais : Sustainable development, Sustainable forest management, Participation, Multi-criteria decision aid, Criteria OR Indicators.

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)0.052
metaresearch head score (Gemma)0.071
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.941
Threshold uncertainty score0.275

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0520.071
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0040.004
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.038
GPT teacher head0.280
Teacher spread0.242 · 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 designQualitative
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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