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Les travaux du projet BNQ 21000 : des mécanismes pour opérationnaliser le développement durable au sein des entreprises et autres organisations du Québec

2013· article· en· W3174451438 on OpenAlexaffabout
Francine Craig, Charles Duchesne

Bibliographic record

VenueEnvironnement Ingénierie & Développement · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsCentrale des Syndicats du Québec
Fundersnot available
KeywordsSloganContext (archaeology)Political scienceManagementHumanitiesSociologyLawEconomicsArtGeography

Abstract

fetched live from OpenAlex

“Project BNQ 21000” is directly linked to the Québec government’s Sustainable Development Strategy 2008-2013, which promotes voluntary approaches to sustainable development of civil society, including business, progressing towards this end. It is in the context of this strategy that is proposed the BNQ 21000 Approach to organizations in Québec. BNQ 21000 Approach is a standard guide and a comprehensive method to promote and accelerate the recognition and implementation of the principles of sustainable development.In a complementary perspective to the BNQ 21000 Standard, BNQ 21000 Method is currently being pilot projects in more than 60 Québec companies. The purpose of this testing phase is to test the normative guide in a practical way and to help validate and improve an approach and tools to meet the needs of companies in terms of sustainability management. In this regard, more than a dozen companies in the Québec mining industry participate in this experiment in the pilot project of the Quebec Mining Association (QMA). In words, the BNQ 21000 standard and 21000 BNQ Method will base the whole Approach BNQ 21000 and can be summarized by the slogan: Driving sustainable development of responsible organization Le « Projet BNQ 21000 » se situe directement en lien avec la Stratégie gouvernementale de développement durable 2008-2013, qui favorise les démarches volontaires en développement durable pour que la société civile, y compris les entreprises, chemine vers cette optique. C’est dans le cadre de cet effort qu’est proposé aux entreprises exerçant leurs activités au Québec, un guide normatif et une démarche globale pour favoriser et accélérer la prise en compte des principes de développement durable au sein de leur organisation.Dans une perspective de complémentarité à la Norme BNQ 21000, la Méthode BNQ 21000 fait présentement l’objet de projets-pilotes dans plus de 60 entreprises québécoises. Le but de cette phase d’expérimentation est de tester le guide normatif de manière concrète et de contribuer à valider et à bonifier une démarche et des outils qui permettront de répondre aux besoins des entreprises en matière de gestion du développement durable. À cet égard, plus d’une quinzaine d’entreprises de l’industrie minière du Québec participent à cette expérimentation au sein du projet pilote de l’Association minière du Québec (AMQ).À termes, la Norme BNQ 21000 et la Méthode BNQ 21000 fonderont ensemble l’Approche BNQ 21000 et se résument par ce slogan : Piloter le développent durable d’une organisation responsable.

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)0.008
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.066
Threshold uncertainty score0.329

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0060.003
Scholarly communication0.0080.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.033
GPT teacher head0.272
Teacher spread0.239 · 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 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".

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Citations0
Published2013
Admission routes2
Has abstractyes

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