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Record W2159807794 · doi:10.5558/tfc81229-2

The impact of forest certification labelling and advertising: An exploratory assessment of consumer purchase intent in Canada

2005· article· en· W2159807794 on OpenAlexaffvenueabout
Hadley Archer, Robert Kozak, David Balsillie

Bibliographic record

VenueThe Forestry Chronicle · 2005
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsUniversity of British ColumbiaUniversity of Toronto
Fundersnot available
KeywordsCertificationLabellingBusinessCertified woodMarketingAdvertisingExploratory researchSample (material)PsychologyEconomics

Abstract

fetched live from OpenAlex

This exploratory research of four Canadian cities, conducted in 2003, compares the impact of forest certification labelling and advertising on the purchase intent of wood and paper products by end-use consumers. Telephone survey results indicate that Canadians are concerned about the environment, have positive attitudes towards certification, and are willing to alter their purchase habits to favour certified wood and paper products. Respondents indicated that labelling would more likely influence their purchase decision than advertising. They also indicated a lack of awareness regarding forest certification, and that advertising was the preferred strategy to increase general awareness among consumers. A segment of consumers was identified, representing 70% of the sample, which is highly concerned about the environment, willing to seek out certified products, and favours labelling as a source of information to assist with their purchase decisions for certified forest products. Key words: forest certification, eco-labelling, green advertising, consumer purchase intent, green consumers

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 score0.130
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.018
GPT teacher head0.259
Teacher spread0.241 · 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

Citations36
Published2005
Admission routes3
Has abstractyes

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