Playing in Synch: A Three-Part Typology of Synch Points Between Image and Sound in Bioshock Infinite
Bibliographic record
Abstract
Video games make extensive use of image and sound, as well as player interactivity to communicate narrative and gameplay information.While scholars (e.g., Kaae, 2008 and Collins, 2013) have made significant contributions to understanding these forms of communication, there are still fruitful directions to explore.This thesis adds Chion's (1994) concept of points of synchronization to the discussion by addressing how they might be used as a tool to create emphasis and to provide an auditory and visual setting around a video game's narrative and gameplay elements.I will argue that it is useful to divide synch points into three types (narrative, gameplay, and serendipitous), and will explore how Chion's concept, originally developed for cinematic sound, can be expanded to include the complexities afforded by interactive gameplay.I will use Bioshock Infinite (2K Games, 2013) as a case study to demonstrate the practical utility of this typological approach to synch points.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".