Bibliographic record
Abstract
Streaming video is being employed in ways that differ from its surrounding media, such as film, television, literature, and the visual arts. Its properties allow users to broadcast personal space, through web-cams and the Internet, to a large audience that can ‘see in’, though the subject cannot ‘see out’ to people viewing their personal space. The use of web-cams to project personal space is a phenomenon that can be studied in relation to Foucault's discussion of the ‘Panopticon’—as an ordering system of surveillance, and the web-cam as a resistance to systems of control in the non-virtual (i.e. ‘real-world’) environment. To understand the web-cam aspect of streaming video as an act of resistance is to place streaming video within its psychological context, an important factor when beginning to situate a new medium within a theoretical context. Also important is streaming video's context within postmodernism—within a fixation on our own reflections and the image-without-original. This article addresses the above issues, and concludes that the use of streaming video through the web-cam is an act of resistance within an environment that is a perfectly segregating and controlling system disguised as a ‘festival’, in which prescribed rules and structures can appear to be resisted when in fact they are only pacification mechanisms within the controlling structure of the computer and network.
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.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.032 | 0.005 |
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".