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Record W2114992030 · doi:10.1139/s04-052

Interdisciplinary comparison of expert risk beliefs

2005· article· en· W2114992030 on OpenAlexvenueno aff
Samantha Rizak, Steve E. Hrudey

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsnot available
Fundersnot available
KeywordsRisk communicationRisk assessmentJudgementPsychologyDisciplineEnvironmental risk assessmentSocial psychologyApplied psychologyRisk analysis (engineering)Computer scienceSociologyMedicineEpistemologySocial science

Abstract

fetched live from OpenAlex

There is increasing awareness that discrepancies in risk judgments between experts, in addition to those with the public, are a major difficulty in achieving effective risk communication. A survey was conducted on members of different environmental disciplines to determine the extent to which they share similar beliefs and conceptual frameworks concerning several basic assumptions and concepts in environmental health risk assessment. Results indicate that divergent interpretations do exist among respondents on several issues. Although no sharp distinctions were found among the disciplines, differences of opinion were often apparent within each group indicating that even within a particular disciplinary field, members do not hold consistent views on these issues. In light of the apparent difficulties in evaluating and communicating risk, experts should evaluate their own knowledge and understanding of these concepts and should be fully aware of the strengths and limitations of the methods used for risk assessment. Key words: risk communication, risk judgement, environmental health risk assessment.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score0.163

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.011
GPT teacher head0.303
Teacher spread0.291 · 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

Citations10
Published2005
Admission routes1
Has abstractyes

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