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Record W2057113611 · doi:10.7202/045084ar

Privacy and Private Law: The Dilemma of Justification

2010· article· en· W2057113611 on OpenAlexaffvenue
Lisa M. Austin

Bibliographic record

VenueMcGill Law Journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDilemmaAutonomyHarmTortPolitical scienceValue (mathematics)Scope (computer science)Law and economicsJurisprudenceLawIdentity (music)SociologyComputer scienceLiabilityEpistemology

Abstract

fetched live from OpenAlex

In recent years there has been a remarkable convergence across several common law jurisdictions regarding the need to recognize some form of a tort of invasion of privacy, particularly with respect to the publication of private facts. Despite this convergence, the author argues that there remains a palpable “containment anxiety” at play in the jurisprudence that is responsible for a number of recurring tensions regarding the scope of protection. Instead of focusing on the question of how to define privacy, this paper frames the containment anxiety at issue in the cases in terms of a justificatory dilemma rather than a definitional one. Using the work of Mill and Kant, the author argues that if we understand privacy rights as protecting either the value of autonomy or freedom from harm then we can justify a narrow legal right to privacy. Although this can explain the containment anxiety in the jurisprudence, it severely undermines the growing recognition of the importance of privacy. Therefore this paper proposes an alternative justification for privacy rights that is rooted in the value of protecting identity interests, where identity is understood in terms of one's capacity for self-presentation.

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)0.001
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.976
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.289
Teacher spread0.266 · 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

Citations4
Published2010
Admission routes2
Has abstractyes

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