Gestalt contexture and contested motives: Understanding video evidence in the murder trial of Officer Michael Slager
Bibliographic record
Abstract
This article is situated in ongoing discussions about the influx of images of police violence. To date, much scholarship has centred on Foucauldian notions of knowledge-power and sousveillance. Alternatively, I attend to how video evidence produces understanding of police violence in court through a case study of the murder trial of Officer Michael Slager who shot and killed Walter Scott in North Charleston, South Carolina. While audio and video direct evidence of the moments leading up to Slager's decision to shoot was presented, cross-examination focused more explicitly on post-shooting conduct as circumstantial evidence. This approach highlights an issue for video evidence, that what is to be settled at trial may not be directly re-presented in video. Gurwitsch's notion of Gestalt and Garfinkel's adaptation thereof are proposed as an alternative means of interrogating video evidence.
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".