The inevitability of the transition from a surveillance-society to a veillance-society: Moral and economic grounding for sousveillance
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
Surveillance is a French word that means “to watch from above” (e.g. guards watching prisoners, police watching citizens, etc.). Another form of veillance (watching) is sousveillance, which means “to watch from below”. Whereas surveillance often means cameras on large entities (e.g. buildings and land), sousveillance often means cameras on small entities (e.g. individual people). The importance of sousveillance has come to the forefront recently with advancements in wearable computing and AR (augmented or augmediated reality). We characterize sousveillance from both an economic and moral perspective. We argue that societies that reject sousveil-lance will be impoverished, relative to those accepting sousveil-lance. We further argue that sousveillance as a form of social action has positive survival characteristics, so that in the long run, assuming that social and technological trends continue, the widespread adoption of sousveillance is inevitable.
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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 | 0.000 |
| 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 | 0.000 |
| 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