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Preface

2016· other· en· W4327852067 on OpenAlexaboutno aff
N A Moreham, Mark Warby, Michael Tugendhat, Iain Christie

Bibliographic record

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicFreedom of Expression and Defamation
Canadian institutionsnot available
Fundersnot available
KeywordsTortData Protection Act 1998HarassmentPolitical scienceLegislationLawCommon lawPrivacy lawInternet privacyInformation privacyPrivacy policyComputer science

Abstract

fetched live from OpenAlex

Extract It was a bold move when this book was first published in 2002 to write a book called The Law of Privacy and the Media. The impact of measures like the Human Rights Act 1998, the Data Protection Act 1998, and the Protection from Harassment Act 1997 was only just beginning to be felt and debate continued about what place privacy had in the common law. By bringing together into one volume the different facets of privacy protection, The Law of Privacy and the Media was therefore something of a foretoken. It showed what might lie ahead if academics and judges seized the gauntlet and recognized privacy as a fully-fledged legal right. Now, just thirteen years later, the gauntlet has been seized. The tort of misuse of private information is an established part of the common-law landscape, harassment legislation has been harnessed in the fight against intrusion and publication of private information, and the importance of data protection legislation and European data directives is finally coming to be fully understood. Similar developments are occurring abroad: New Zealand and Ontario have recognized new torts of intrusion into seclusion; Australian judges continue to push the boundaries of breach of confidence; and recommendations for privacy reform abound.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.267
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.2760.009

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 head0.018
GPT teacher head0.350
Teacher spread0.332 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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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