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Record W2019015638 · doi:10.5558/tfc83113-1

The status of forest certification in the Canadian value-added wood products manufacturing sector

2007· article· en· W2019015638 on OpenAlexaffvenueabout
Priyangi Jayasinghe, Stuart D. Allen, Gary Bull, Robert Kozak

Bibliographic record

VenueThe Forestry Chronicle · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCertificationCertified woodBusinessMarketingForest managementSustainabilityValue (mathematics)ForestryGeographyEconomicsEcologyManagement

Abstract

fetched live from OpenAlex

With forest certification on the rise in Canada, a nation-wide mail survey was implemented in 2004 to gain insight into the attitudes of value-added wood products manufacturers towards certification. The majority of firms in this sector (64.8%) were not interested in forest certification, and only 17.6% were involved with forest certification at the time of the survey. Another 17.6% did express interest in becoming involved within the next five years. Low levels of knowledge and awareness regarding forest certification and a perceived lack of consumer demand for certified forest products were identified as factors contributing to the significant lack of interest in adopting certification. Although uptake remains limited, a cluster analysis identified a sizeable segment of manufacturers (43.5%) that has a "wait and see" attitude towards forest certification pending future developments in consumer markets. Logistic regression indicated that manufacturer interest in forest certification is linked to both awareness of chain of custody certification and a belief that certification can act as a competitive differentiation tool. Canadian value-added wood products manufacturers that are currently engaged or interested in forest certification tend largely to be ethically motivated and expressed concerns about the future health of forests and sustainable forest management. However, these same respondents were generally doubtful about the ability of forest certification to provide short-term financial gains. Key words: forest certification, chain of custody, value-added wood products manufacturers, 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)0.000
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 score0.307
Threshold uncertainty score0.665

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.027
GPT teacher head0.256
Teacher spread0.228 · 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

Citations25
Published2007
Admission routes3
Has abstractyes

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