MétaCan
Menu
Back to cohort
Record W3091737876 · doi:10.18432/ari29520

ART AND DOCUMENTARIES IN CLIMATE COMMUNICATION

2020· article· en· W3091737876 on OpenAlexvenueno aff
Liselotte Roosen, Christian A. Klöckner

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsnot available
FundersNorges Forskningsråd
KeywordsExhibitionClimate changeSubject (documents)Focus groupFocus (optics)PsychologySociologyVisual artsSocial psychologyArtComputer scienceEcology

Abstract

fetched live from OpenAlex

The purpose of this study was to explore which principles or characteristics of visual forms of climate communication have the potential to increase their perceived effectiveness in terms of triggering climate concern and engagement. This article details the results of a case study based on an art exhibition and a shortened documentary with the topic earth/soil. Two focus group discussions were conducted in Brighton (UK) with a total of 20 participants who had seen both the documentary and the artwork. The transcripts of these focus groups were thematically analyzed to establish categories, themes, and subthemes from the data. Results show that art as well as documentaries have the potential to be an effective medium to convey climate change to audiences. Art may speak to the audience on a different (i.e. emotional rather than cognitive) level than documentaries, and therefore could be a helpful way to introduce the subject to an audience that may not yet be overly familiar with climate change. To further encourage behavior change, a solution should be presented that is novel, relatively easy to implement and impactful.

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)0.006
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.005
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.569
GPT teacher head0.546
Teacher spread0.023 · 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 designNot applicable
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

Citations3
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueArt/Research International A Transdisciplinary JournalSame topicClimate Change Communication and PerceptionFrench-language works237,207