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Record W1517559692 · doi:10.1080/1523908x.2015.1053107

Framing Climate Change for Public Deliberation: What Role for Interpretive Social Sciences and Humanities?

2015· article· en· W1517559692 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

VenueJournal of Environmental Policy & Planning · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDeliberationFraming (construction)Political scienceClimate changeScrutinyNormativeSociologyValue pluralismDeliberative democracyPublic engagementPluralism (philosophy)Climate governancePoliticsEnvironmental ethicsEpistemologySocial sciencePublic relationsDemocracyGeographyLawEcology

Abstract

fetched live from OpenAlex

Public deliberation is increasingly marshalled as a viable avenue for climate governance. Although climate change can be framed in multiple ways, it is widely assumed that the only relevant public meaning of climate change is that given by the natural sciences. Framing climate change as an inherently science-based public issue not only shields institutional power from scrutiny, but it can also foster an instrumental approach to public deliberation that can constrain imaginative engagement with present and future socio-environmental change. By fostering the normative value of pluralism as well as the substantive value of epistemic diversity, the interpretive social sciences and humanities can assist in opening up public deliberation on climate change such that alternative questions, neglected issues, marginalized perspectives and different possibilities can gain traction for policy purposes. Stakeholders of public deliberation are encouraged to reflect on the orchestration of the processes by which climate change is defined, solutions identified and political collectives convened.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.793

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 studies0.0010.000
Scholarly communication0.0000.002
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 head0.572
GPT teacher head0.476
Teacher spread0.096 · 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