Guided by Delight: Music Apps and the Politics of User Interface Design in the iOS Platform
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.
Bibliographic record
Abstract
Seemingly trivial software does important cultural work, both reflecting hegemonic norms and providing opportunities for transforming them. Software applications for music production (music apps) within the iOS app store promise to broaden the potential for musical participation through simple, “fun,” user-friendly interface design. Yet, within the dominant user interface convention, “fun” is synonymous with the experience of instant success and effortless musical mastery. Drawing on semistructured interviews conducted with developers, and an analysis of shared user interface design conventions across three case studies of apps, ThumbJam, iMaschine 2, and Skram, I argue that normative conceptions of human perfectibility are assumed to be what generates an optimal user experience. Exploring theories of “queer fun,” and the importance of “failure” in studies of video gaming, I propose alternative conceptions of “fun,” and consider how, and with what effects, these might be implemented in the world of music apps.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it