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Record W2156568070 · doi:10.1088/0963-6625/9/3/306

Knowledge, ignorance and the popular culture: climate change versus the ozone hole

2000· article· en· W2156568070 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePublic Understanding of Science · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersUniversity of Toronto ScarboroughSocial Sciences and Humanities Research Council of Canada
KeywordsIgnoranceFunctional illiteracySociology of scientific knowledgeClimate changeEnvironmental ethicsSociologyPublic awareness of scienceScientific literacySocial scienceScience communicationEpistemologyPublic relationsPolitical scienceLawScience educationEcology

Abstract

fetched live from OpenAlex

This paper begins with the “knowledge-ignorance paradox”—the process by which the growth of specialized knowledge results in a simultaneous increase in ignorance. It then outlines the roles of personal and social motivations, institutional decisions, the public culture, and technology in establishing consensual guidelines for ignorance. The upshot is a sociological model of how the “knowledge society” militates against the acquisition of scientific knowledge. Given the assumption of widespread scientific illiteracy, the paper tries to show why the ozone hole was capable of engendering some public understanding and concern, while climate change failed to do so. The ozone threat encouraged the acquisition of knowledge because it was allied and resonated with easy-to-understand bridging metaphors derived from the popular culture. It also engendered a “hot crisis.” That is, it provided a sense of immediate and concrete risk with everyday relevance. Climate change fails at both of these criteria and remains in a public limbo.

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.747
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.009
Scholarly communication0.0000.001
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 head0.592
GPT teacher head0.441
Teacher spread0.152 · 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