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Record W2322417051 · doi:10.1080/08941920050121927

Factors Influencing Forest Values and Attitudes of Two Stakeholder Groups: The Case of the Foothills Model Forest, Alberta, Canada

2000· article· en· W2322417051 on OpenAlexaboutno aff
Peter C. Boxal Bonita L. McFarlane

Bibliographic record

VenueSociety & Natural Resources · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Management and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsFoothillsForest managementSustainable forest managementStakeholderGeographySocioeconomic statusEnvironmental resource managementContext (archaeology)Sustainable managementForestryBusinessAgroforestrySustainabilityEcologyPolitical scienceSociologyEnvironmental sciencePopulationCartographyPublic relations

Abstract

fetched live from OpenAlex

Canada's Model Forest Program was established as a means of implementing concepts of sustainable forest management. An initial step to achieving this is understanding stakeholders' forest values and attitudes. A study was undertaken to examine forest values and attitudes toward forest management of campers and hunters in the Foothills Model Forest of Alberta within the context of a cognitive hierarchy model. Data were collected by mail survey in 1996. Campers and hunters were primarily biocentric in their forest values orientation. These groups supported protection-oriented management strategies, were not in favor of economic development and timber-oriented strategies, and did not believe that current forest management is sustainable. Socioeconomic factors, social influences, and knowledge had little influence on values or attitudes. Forest values were related strongly to attitudes providing support for the cognitive hierarchy model.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.037
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.002
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.232
Teacher spread0.216 · 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 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

Citations152
Published2000
Admission routes1
Has abstractyes

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