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Record W6989731709

Building shared value park to develop sustainable business model in the canadian forest products industry

2022· other· fr· W6989731709 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCorpus Université Laval (Université Laval) · 2022
Typeother
Languagefr
FieldBusiness, Management and Accounting
TopicDecision Support System Applications
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityValue (mathematics)Business modelSustainable developmentSustainable Value
DOInot available

Abstract

fetched live from OpenAlex

Cet article propose un nouveau concept de parc industriel à valeur partagée basé sur la collaboration entre
\nplusieurs intervenants, orienté vers l’innovation marché et visant la création de bénéfices sociaux. Il expose le résultat d’une
\npremière étape reliée à une méthodologie de recherche basée sur la conception comprenant une revue de la littérature
\ndécrivant divers types de parcs existants et s’adaptant au contexte de l’industrie forestière Canadienne. L’idée du Shared
\nValue Park représente une solution répondant aux enjeux du développement durable et à la conjoncture actuelle des
\nmarchés des produits du bois en permettant aux entreprises impliquées de transformer leur modèle d’affaires et en
\nfacilitant la mise en place de stratégies de diversification. Le type de collaboration retrouvée sur le parc accéléra le
\ndéveloppement de bioproduits, issus de la biomasse forestière, tout en permettant de résoudre les défis d’investissement,
\nd’innovations et de développement des marchés visés. La structure du parc proposé permet la création de prospérité,
\nd’avantage concurrentiel durable et la croissance économique recherchés. Bien qu’aucune étude de cas n’ait encore été
\ncomplétée, une discussion concernant des avenues de recherches se rapportant aux outils à développer permettant de le faire
\ntermine le document

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.453
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.015
Science and technology studies0.0030.000
Scholarly communication0.0010.002
Open science0.0040.002
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 head0.015
GPT teacher head0.200
Teacher spread0.186 · 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