In Defense of Privacy: The Concept and the Regime
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
It has recently become fashionable within the surveillance studies community to subject the concept and regime of “privacy protection” to some very rigorous criticism. “Privacy” and all that it entails is argued to be too narrow, too based on liberal assumptions of subjectivity, too implicated in rights-based theory and discourse, insufficiently sensitive to the social sorting and discriminatory aspects of surveillance, and overly embroiled in spatial metaphors about “invasion” and “intrusion.” As a concept, and as a way to frame the various social and political challenges encountered within “surveillance societies,” it is inadequate. These critiques are important, and to some extent, have set scholarly inquiry on a new, exciting and broader, trajectory than that offered by privacy scholars. On closer examination, however, these critiques are often based on some faulty assumptions about the contemporary framing of the privacy issue, and about the governance of the issue. Privacy, as a concept, regime, a set of policy instruments, and as a way to frame civil society activism, shows an extraordinary resilience. Surveillance scholars must learn to live with it.
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 | 0.004 | 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 | 0.002 |
| 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