Privacy Revisited: A Global Perspective on the Right to Be Left Alone
Bibliographic record
Abstract
Rapid technological change, the advent of Big Data, and the creation of society-wide government surveillance programs have transformed the accessibility of highly personal information; these developments have highlighted the ambiguous treatment of privacy and personal intimacy. National legal systems vouchsafe and define "privacy," and its first cousin "dignity," in different ways that reflect local legal and cultural values. Yet, in an increasingly globalized world, purely local protection of privacy interests may prove insufficient to safeguard effectively fundamental autonomy interests - interests that lie at the core of self-definition, personal autonomy, and freedom. Privacy Revisited articulates the legal meanings of privacy and dignity through the lens of comparative law, and argues that the concept of privacy requires a more systematic approach if it is to be useful in framing and protecting certain fundamental autonomy interests. The book begins by providing relevant, and reasonably detailed, information about both the substantive and procedural protections of privacy/dignity in the U.S., Canada, South Africa, the United Kingdom, and among Council of Europe member states. Second, the book explores the inherent tension between affording significant legal protection to the right of privacy (or human dignity) and securing expressive freedoms, notably including the freedom of speech and of the press. The author then posits that the protection of privacy helps to illuminate some of the underlying social and political values that lead the U.S. to fail to protect privacy as reliably or as comprehensively as other liberal democracies. Finally, the book establishes that although privacy and speech come into conflict with some regularity, it is both useful and necessary to start thinking about the important ways in which both rights are integral to the maintenance of democratic self-government.
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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.052 |
| Scholarly communication | 0.018 | 0.021 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.010 | 0.018 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".