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Record W2307093205

Preface: Privacy Revisited: A Global Perspective on the Right to Be Left Alone

2016· article· en· W2307093205 on OpenAlexaboutno aff
Krotoszynski, J Ronald

Bibliographic record

VenueSSRN Electronic Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLaw, Rights, and Freedoms
Canadian institutionsnot available
Fundersnot available
KeywordsDignityAutonomyRight to privacyPrivacy lawPolitical scienceThe Right to PrivacyPersonally identifiable informationPrivacy policyInformation privacyFraming (construction)Data Protection Act 1998Fundamental rightsLawSociologyLaw and economicsHuman rightsEngineering
DOInot available

Abstract

fetched live from OpenAlex

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: A Global Perspective on the Right to Be Left Alone (Oxford University Press 2016) 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. Indeed, careful consideration of the constitutional protection afforded privacy across different legal systems 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. In the era of Big Data, we should consider carefully the important ways that privacy and speech are complementary, rather than conflicting, human rights values. Simply put, democratic self-government presupposes an ongoing dialogue among citizens, but an open dialogue about government simply cannot exist in a surveillance state.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.780
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.014
GPT teacher head0.293
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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