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Record W7138247240 · doi:10.21606/iasdr.2025.1008

To Play or Not to Play: Ethnographic Insights into Designers' Role Negotiations in Co-Creation Processes at an Adventure Playground

2025· article· W7138247240 on OpenAlexfundno aff
Rintaro Chujo, Yuchi Yahagi, Kuan-Ju Wu, Yuiko Fujita

Bibliographic record

Venuenot available
Typearticle
Language
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsnot available
FundersRyerson University
KeywordsNegotiationEthnographyAdventureWork (physics)Action (physics)Field (mathematics)

Abstract

fetched live from OpenAlex

This pictorial presents an ethnographic account of community-based design observed in a historical urban adventure playground in Tokyo. Focusing on university student designers who also served as play leaders, we examine how they navigated tensions between initiating designed activities and supporting child-led play. Through field observations and interviews, we identify strategies such as concealing role shifts, reframing activities as everyday occurrences, and adopting a watching-over stance to maintain childrens autonomy. By highlighting how design is negotiated through subtle, relational, and situated practices, this work offers insight into the micro-politics of co-creation in informal settings. The pictorial contributes to the design research community by foregrounding the challenges of role negotiation in participatory contexts and offering grounded strategies for engaging in co-creation without compromising local agency.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.570
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.013
Science and technology studies0.0010.000
Scholarly communication0.0010.003
Open science0.0020.001
Research integrity0.0010.001
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 head0.022
GPT teacher head0.351
Teacher spread0.328 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations0
Published2025
Admission routes1
Has abstractyes

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