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Record W2078568216 · doi:10.1175/wcas-d-12-00034.1

“We Have Seen It with Our Own Eyes”: Why We Disagree about Climate Change Visibility

2013· article· en· W2078568216 on OpenAlexaff
Peter Rudiak‐Gould

Bibliographic record

VenueWeather Climate and Society · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsMcGill University
Fundersnot available
KeywordsPhenomenonClimate changeVisibilityIndigenousPoliticsDemocracyEnvironmental ethicsScientific consensusPolitical scienceSociologyPolitical economyEpistemologyGlobal warmingGeographyLawEcology

Abstract

fetched live from OpenAlex

Abstract Can the phenomenon called “global climate change” be witnessed firsthand with the naked senses? The question provokes sharply divergent answers from different individuals and ideational communities. Physical scientists and experimental psychologists tend to regard climate change as inherently undetectable to the lay observer, while others, such as anthropologists, indigenous advocates, and environmentally inclined Western citizens, often claim that the phenomenon is not only visible in principle but is indeed already being seen. A third understanding of the visibility of climate change is held by some scholars who portray climate change as invisible at the outset but capable of being made visible via communication tactics such as the miner’s canary. This paper queries the motivations for and consequences of these divergent answers to a deceptively simple question, ultimately suggesting that the dispute between climate change “visibilism” and “invisibilism” is not scientific so much as political, being a proxy war for a larger debate on scientific versus lay knowledge and the role of expertise in democratic society.

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)0.048
metaresearch head score (Gemma)0.141
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.048
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0480.141
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0080.059
Scholarly communication0.0110.019
Open science0.0030.007
Research integrity0.0130.021
Insufficient payload (model declined to judge)0.0040.001

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 head0.259
GPT teacher head0.402
Teacher spread0.143 · 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

Citations133
Published2013
Admission routes1
Has abstractyes

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