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Record W4407623804 · doi:10.1080/21594937.2025.2464324

Bricolage: aligning with climate action through playful participatory design in speculative scenarios

2025· article· en· W4407623804 on OpenAlex
Bengi Agcal, Ines Ziyou Yin, Marty Miller, Ray Lc

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

VenueInternational Journal of Play · 2025
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersHong Kong Arts Development Council
KeywordsBricolageCitizen journalismAction (physics)Participatory designParticipatory action researchSociologyPolitical scienceEngineeringOperations managementVisual artsArt

Abstract

fetched live from OpenAlex

This work explores collaborative roleplaying interventions as a climate education tool, addressing the disconnect between actions and consequences of climate action. Participants assumed one of the roles of Architect, Collector, Engineer, and Explorer in a fictional scenario, engaging in teams to create personal, embodied experiences through speculative ideation and design-making. The team-based creation and trading mechanisms foster engagement for encouraging pro-environmental behaviors in a participatory public workshop format. Results suggest that the design process empowers participants to combat environmental problems actively. Overall, this research offers a novel approach to climate education, fostering empathy, instilling hope, and inspiring pro-environmental action through participatory play and making.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.703
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.061
GPT teacher head0.366
Teacher spread0.305 · 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