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Record W81197506 · doi:10.60082/2817-5069.1090

From Scanning to Sexting: The Scope of Protection of Dignity-Based Privacy in Canadian Child Pornography Law

2010· article· en· W81197506 on OpenAlexaffvenueabout
Andrea Slane

Bibliographic record

VenueOsgoode Hall law journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of Ontario Institute of Technology
Fundersnot available
KeywordsDignityChild pornographyVoyeurismRight to privacyJurisprudencePornographyInternet privacyPolitical scienceLawScope (computer science)PsychologyComputer scienceThe Internet

Abstract

fetched live from OpenAlex

The Canadian approach to privacy rights in one's body is embedded in the relationship between interests in privacy, bodily integrity, and human dignity. Clarifying these interests is complicated by Canada's middle-ground stance between the European "dignity-based" approach to privacy and the US "liberty-based" orientation. The Canadian approach is closer to the European model when intrusions upon the body are conceived as wholly or mostly non-consensual (e.g., strip searches, voyeurism, and most child pornography). However, once consent plays a potentially determinative rote, the US liberty-based approach gains ground. This reluctance to fully align dignity with privacy results in confusion about the scope of ongoing privacy interests in nude images, as evidenced by recent debates about the use of airport body scanners and the appropriate response to adolescent "sexting." The author argues that a clearer alignment with a dignity-based approach emerging in Canadian child pornography jurisprudence would better address the harms caused by misuse of photography, as applicable to both children and adults.

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)0.006
metaresearch head score (Gemma)0.014
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: Empirical · Consensus signal: none
Teacher disagreement score0.083
Threshold uncertainty score0.603

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0200.039
Scholarly communication0.0110.004
Open science0.0020.005
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.277
Teacher spread0.262 · 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
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

Citations3
Published2010
Admission routes3
Has abstractyes

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