Bibliographic record
Abstract
There are striking parallels between contemporary privacy angst and technological fears from an earlier era. Like the “information age,” the modern industrial age engendered dystopian visions of out-of-control technology, technology that did not simply herald a new age of freedom but rather brought with it new types of threats to human autonomy, health, communities and the environment. Many first generation philosophers of technology argued — although each in quite different terms — that the significance of modern technology does not lie in specific features of its machinery but rather in a kind of rationality and cultural milieu intimately linked with the project of modernity and the Enlightenment values that animate it but simultaneously threatening to undermine human freedom. Second generation philosophers of technology took an “empirical turn” away from this earlier approach. Privacy theory needs to recover some of the insights of the earlier generation and, in particular, a focus on the idea of the self. Dominant accounts of privacy as control over personal information or privacy as limited access both draw upon ideas of a self who has an “inner core” to be selectively revealed to others and protected from them through social withdrawal. What we need instead is to understand privacy norms as protecting the conditions of social interaction, where those conditions provide the basis for identity formation.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.015 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".