ART AND DOCUMENTARIES IN CLIMATE COMMUNICATION
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".