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Record W2315939812 · doi:10.5558/tfc2011-070

The efficacy of forest certification: Perceptions of Canadian forest products retailers

2011· article· en· W2315939812 on OpenAlexaffvenueabout
Juan Chen, Anna Tikina, Robert Kozak, John L. Innes, Peter N. Duinker, Bruce Larson

Bibliographic record

VenueThe Forestry Chronicle · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsDalhousie UniversityUniversity of British Columbia
Fundersnot available
KeywordsCertified woodCertificationBusinessPurchasingSustainable forest managementForest productForest managementStewardship (theology)MarketingStandardizationPrice premiumForestryWillingness to payGeographyEconomics

Abstract

fetched live from OpenAlex

A nation-wide survey of wood products retailers was conducted to examine their perceptions related to forest certification and its impacts in the market place. Four widely accepted forest certification standards were taken into account: International Organisation for Standardization (ISO) 14001, Forest Stewardship Council (FSC), Sustainable Forestry Initiative (SFI), and the Canadian Standards Association (CSA) Z809 Standard. The survey inquired about the economic impacts of forest certification, namely wood purchasing policies and the potential for price premiums on certified wood products. The responses indicated that most retailers had no particular purchasing policies for certified products. However, they reported up to a 20% price premium on certain certified products, although the number of consumers who request certified wood products was small (less than 10%). The retailers also indicated that the most important reasons for buying or selling certified forest products revolved around improved company image, being an environmental leader in the field, and maintaining or increasing market share. Finally, respondents felt that forest certification had minimal impacts on the social aspects of forest management, while the environmental and economic aspects of forest management were perceived to be subject to more marked changes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score0.828

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.044
GPT teacher head0.250
Teacher spread0.206 · 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

Citations13
Published2011
Admission routes3
Has abstractyes

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