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Record W2534284356 · doi:10.29173/alr448

Privacy: A Review and Critique of the Literature

2016· review· en· W2534284356 on OpenAlexvenueaboutno aff
Richard Bruyer

Bibliographic record

VenueAlberta Law Review · 2016
Typereview
Languageen
FieldSocial Sciences
TopicPrivacy, Security, and Data Protection
Canadian institutionsnot available
Fundersnot available
KeywordsInformation privacyPrivacy policyRight to privacyPrivacy by DesignThe Right to PrivacyPrivacy lawSupreme courtInternet privacyPrivacy laws of the United StatesLawLaw and economicsSociologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

It seems trite to say privacy is valuable. The Supreme Court of Canada has emphasized that privacy is worthy of constitutional protection. Scholars tend to agree that privacy is a fundamental moral and political concept. The consensus appears to end, however, when privacy in theory approaches privacy in practice. As a broad and evanescent concept, opinions differ as to what interests or values the protection of privacy is designed to achieve. The prevailing conceptions of privacy — six of which have been identified — fall prey to substantive criticisms from which, the author contends, they cannot recover. First, they suffer from intuitionism. That is, they offer an intuitive approach of what makes things "private" and incorrectly assume that we all approach privacy with a common understanding of the concept, or concepts, that the term "privacy" expresses. Further, the standing conceptions of privacy depend upon and serve the concept of privacy as liberty which itself is flawed. "Liberty" is seen as a form of licence, protecting — in its most crude form—an individual's right to do as he or she pleases. So viewed, it is not particularly surprising to see privacy attacked when competing "liberty" issues are at stake. Given the substantial criticisms with the prevailing conceptions of privacy, it may be worthwhile to reconsider the present paradigm against which privacy is conceived. It may be that privacy is better conceived of as an equality issue, not a liberty issue. The focus should shift away from conceptualizing privacy as a prerequisite for preventing invasions of various liberty interests to one of "maintaining conditions " that will make the exercise of those liberty interests possible. By limiting the ambit of privacy, we may indeed strengthen it.

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.540
Threshold uncertainty score0.847

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.033
GPT teacher head0.363
Teacher spread0.331 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations5
Published2016
Admission routes2
Has abstractyes

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