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
We present "equiveillance" as a conceptual framework for understanding the balance between surveillance and sousveillance. In addition to this conceptual framework we also present a practical embodiment of equiveillance in the form of a new program called "cyborglogger" ('glogger) that runs on most modern camera phones, along with a server architecture to support 'glogger. Finally we show how the 'glogger program and server architecture create sousveillance communities. Cyborglogger implements features that are ideal for sousveillance such as including continuous capture and real-time upload aimed at communicating personal day-to-day narratives of everyday experiences. The server architecture includes a custom-built community web site that allows a sousveillance community to interact, in real time, with 'glogs from various users of the system. Participants can use their camera phones to display output from other camera phones, resulting in peer-to-peer sharing of visual narratives. This real-time live monitoring creates a social commentary and discourse that runs parallel to the widespread surveillance already present in the world around us. Unlike surveillance, which often happens in secrecy, our tools for sousveillance are freely available and moves personal experience capture into the realm of the everyday, with an open forum for public discourse. We thus explore how users engaging in sousveillance with the 'glogger application provide a balance to existing well-established surveillance practices by examining the philosophical questions that arise from the new artistic practice of sousveillance.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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