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privacy’s second home: Building a New Home for Privacy Under Section 15 of the Charter

2008· book-chapter· en· W2257657705 on OpenAlexaffabout
Daphne Gilbert

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCharterThe Right to PrivacyPolitical scienceGuard (computer science)Information privacyRight to privacyLawEnforcementSection (typography)Privacy lawInternet privacyPrivacy policyHuman rightsBusinessComputer science

Abstract

fetched live from OpenAlex

Abstract In Canada, any constitutional “right”1 to privacy has been housed in section 7 or section 8 of the Charter of Rights and Freedoms. Located as such, privacy is grounded and protected within the Legal Rights portion of the Charter, the provisions of which set out the rights of people in dealing with the justice system and law enforcement. Although sections 7 and 8 of the Charter guard recognized “zones” of privacy in certain, primarily criminal contexts, the positioning of privacy in the Legal Rights section alone neglects privacy’s relevance to other Charter guarantees. This is an impoverished interpretation of what privacy could offer to human rights protections in Canada. Privacy can be viewed as more than simply a legal interest, and finding a home for it, outside of the Legal Rights section of the Charter, opens new possibilities for expanding its constitutional protection and its utility as a tool in advancing other Charter rights.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.348
Threshold uncertainty score0.700

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0070.018
Scholarly communication0.0100.005
Open science0.0020.004
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0070.001

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 head0.069
GPT teacher head0.310
Teacher spread0.241 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2008
Admission routes2
Has abstractyes

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