So you think you can play: An exploratory study of music video games
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
Abstract Digital music technologies have evolved by leaps and bounds over the last 10 years. The most popular digital music games allow gamers to experience the performativity of music, long before they have the requisite knowledge and skills, by playing with instrument-shaped controllers (e.g. Guitar Hero, Rock Band, Sing Star, Wii Music ), while others involve plugging conventional electric guitars into a game console to learn musical technique through gameplay (e.g. Rocksmith ). Many of these digital music environments claim to have educative potential, and some are actually used in music classrooms. This article discusses the findings from a pilot study to explore what high school age students could gain in terms of musical knowledge, skill and understanding from these games. We found students improved from pre- to post-assessment in different areas of musicianship after playing Sing Party , Wii Music and Rocksmith , as well as a variety of games on the iPad.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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