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Environmental Communication at Festivals: A Scoping Review

2025· article· en· W7106499684 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.

Bibliographic record

VenueEvent Management · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSustainabilityEnvironmental communicationVariety (cybernetics)Psychological interventionEnvironmental educationBehaviour change

Abstract

fetched live from OpenAlex

Environmental communication, a sub-category of sustainability communication, has been increasingly adopted in festival settings to promote pro-environmental behaviours among stakeholders, shape a green image, and enhance a festival’s reputation. This study reviewed 37 articles published in English to identify dominant trends in this area of research. This scoping review revealed that music festivals received the most research attention compared to other types of festivals. Attendees are often the primary audience for environmental communication, with their perspectives and responses the most frequently documented. Festivals serve as an educational platform for communicating a variety of environmental topics, with waste management and climate change receiving significant attention. While some studies explored the effectiveness of different message frames (e.g., gain and loss frame) on attendees’ pro-environmental intentions, this area remains under-researched. Future studies are encouraged to test a broader range of theory-informed environmental communication interventions to advance the efficacy of environmental communications at festivals.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.518
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.008
GPT teacher head0.297
Teacher spread0.288 · 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