Bibliographic record
Abstract
The self today is networked, and governed through networks. This paper examines the four functions of privacy as set out by privacy theorist Alan Westin [1967. Privacy and freedom. New York: Atheneum] and works to construct a revised view of the functions of privacy in a networked world by drawing on feminist theories of relationality. Many basic ideas about privacy, drawn from the Western liberal tradition, have been challenged, redrawn, and re-conceptualized by feminist philosophers of relationality. In section one, this paper defines the ‘networked governance of the self’ and outlines the feminist relational approach, drawing the concepts of networked governance and relationality together. In section two, the paper elaborates a relational perspective on networked privacy, set up against Westin’s traditional formulation of the roles that privacy plays in democratic society. According to Westin, privacy (1) provides a realm of personal autonomy; (2) creates opportunities for emotional release; (3) permits a zone of self-evaluation; and (4) permits limited and protected forms of communication. The paper elaborates a relational perspective on the functions of privacy, emphasizing the importance of relational privacy to the networked governance of the self.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.030 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".