MétaCan
Menu
Back to cohort
Record W2029375586 · doi:10.1017/s0008197306007240

PRIVACY IN PUBLIC PLACES

2006· article· en· W2029375586 on OpenAlex
N. A. Moreham

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Cambridge Law Journal · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsRight to privacyInternet privacyThe Right to PrivacyInformation privacyPrivacy lawPolitical scienceEvent (particle physics)Privacy policyLawLaw and economicsSociologyComputer scienceHuman rights

Abstract

fetched live from OpenAlex

O NE of the most difficult questions facing English courts as they develop the common law right to privacy recognised by the House of Lords in Campbell v. MGN Ltd. is whether and, if so, when a person might have a reasonable expectation of privacy in a public place. Should an individual have a cause of action if she is photographed as she leaves her mother’s funeral or as he receives medical attention after an accident? Or should there be an absolute rule which says that there is no privacy in a public space? Recent decisions in England and the European Court of Human Rights (ECtHR) suggest that it is no longer an answer (if it ever was) simply to say that the disclosure concerned something which took place in public. A more difficult question therefore remains: if the existence of a privacy interest does not depend on the nature of the space in which claimants find themselves, how do we determine whether a person does have a legitimate privacy interest?

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.905
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.022
GPT teacher head0.273
Teacher spread0.250 · 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