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Record W2771243309 · doi:10.22459/her.21.01.2015.06

Trust and Skepticism in Dynamic Tension: Concepts and Empirical Refinements From Research on the Mountain Pine Beetle Outbreak in Alberta, Canada

2015· article· en· W2771243309 on OpenAlexaffabout
John R. Parkins, Bonita L. McFarlane

Bibliographic record

VenueHuman Ecology Review · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Management and Policy
Canadian institutionsUniversity of AlbertaNatural Resources CanadaCanadian Forest Service
Fundersnot available
KeywordsSkepticismMountain pine beetleOutbreakGeographyEnvironmental ethicsEpistemologyForestryPhilosophyBiology

Abstract

fetched live from OpenAlex

Drawing on published research involving public trust and environmental risk regulation, this study explores a differentiated view of trust that includes aspects of uncritical trust, critical trust, distrust and cynicism. Using survey research of residents (n = 1,303) in three mountain pine beetle affected regions of Alberta, Canada, we examine the attributes of research participants who are grouped into these four types of trust and argue that critical trust relates to a category of citizenship that is ideally important for the effective functioning of democratic society. In contrast to research that draws a strong connection between public trust and public satisfaction with resource management decisions, this study identifies several subtle but significant differences in these terms, calling for more careful attention to trust-related concepts as they are utilized in research and practice.

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)0.016
metaresearch head score (Gemma)0.045
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.401

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.045
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.008
Science and technology studies0.0090.021
Scholarly communication0.0080.004
Open science0.0030.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.079
GPT teacher head0.381
Teacher spread0.302 · 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 designQualitative
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

Citations12
Published2015
Admission routes2
Has abstractyes

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