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Record W4399488531 · doi:10.22318/icls2024.262259

Transformation of Habits through the Aesthetics of Agency

2024· article· en· W4399488531 on OpenAlex
Tyler W. Beatty

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProceedings. · 2024
Typearticle
Languageen
FieldPsychology
TopicPhenomenology and Existential Philosophy
Canadian institutionsOntario College of Art and Design
FundersUniversity of Toronto
KeywordsTransformation (genetics)Agency (philosophy)AestheticsComputer scienceSociologyArtSocial science

Abstract

fetched live from OpenAlex

This paper explores the affective relationships between learning and games, leveraging Thi Nguyen's insights on the aesthetic capacity of games and Michalinos Zembylas' pedagogical framework for habits of social transformation.Focusing on a close reading of the game This War of Mine, the analysis reveals how game-designed agency can provide valuable lessons for educational practices.Employing a material semiotics approach, the study emphasizes the interconnectedness of human and non-human elements in shaping habits.Three actionable recommendations for education researchers emerge: prioritize striving over achievement tasks, focus on the inner agency in learners, and the acceptance that habits are not designed.This paper describes and reiterates that only through thoughtfully designed environments can new agency emerge and potentially transformative habits along with it.

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 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 score0.683
Threshold uncertainty score0.180

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 science0.0000.000
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 head0.043
GPT teacher head0.314
Teacher spread0.271 · 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