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Record W2752559259 · doi:10.1080/14606925.2017.1352915

A case of values conflict in the video game design field. A critique of Schön’s appreciative system.

2017· article· en· W2752559259 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

VenueThe Design Journal · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAppreciative Inquiry and Organizational Change
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCasualConversationField (mathematics)Appreciative inquiryGame designValue (mathematics)Coherence (philosophical gambling strategy)Computer scienceSociologyAestheticsMultimediaMathematicsPolitical scienceCommunicationPhilosophyPedagogyLawStatistics

Abstract

fetched live from OpenAlex

Schön’s model of design as a reflective conversation with the situation is one of the most important models in design research, but it is not often criticized. This paper questions Schön’s vision of values by contrasting it with Dewey’s vision. It presents a case study from the video game industry to show the difference between Schön’s and Dewey’s value system. Game designers were interviewed about their values concerning casual games. The results show that some designers have had a change of values during a project: they moved from a negative position on casual games to a positive one. In terms of Schön’s fixed appreciative system, a change of values is unusual, and it risks jeopardizing the design project. But this fixedness is contradictory with the idea of conversation with the situation, and Dewey’s vision of values, which is more flexible, demonstrates stronger coherence with the model.

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)0.004
metaresearch head score (Gemma)0.001
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.766
Threshold uncertainty score0.358

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.115
GPT teacher head0.313
Teacher spread0.198 · 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