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Record W1793832989 · doi:10.4000/droitcultures.3092

Vie privée et surveillance ambiante : le droit canadien en chantier

2013· article· fr· W1793832989 on OpenAlexaffabout
Karim Benyekhlef, E. Paquette-Bélanger, A. Porcin

Bibliographic record

VenueDroit et Cultures · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsConcordia University
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

L'avènement des technologies de surveillance ambiante constitue une nouvelle embûche sur le chemin de la conceptualisation du droit à la vie privée au Canada. En modifiant la logique de surveillance, ces technologies remettent en question les approches théoriques traditionnelles de la vie privée. Pour faire écho à ces modifications sociales, il convient donc de poser un regard sans complaisance sur les concepts juridiques qui ont été proposés et adoptés pour prendre en compte l'installation progressive de la société de surveillance. Plus qu'à critiquer ou réformer, nous cherchons à mettre au jour la trame qui sous-tend les règles en matière de protection de la vie privée, ainsi que ses forces et ses faiblesses. Nous nous intéresserons par conséquent aux mouvements politiques et sociaux qui accompagnent l'introduction des technologies ambiantes dans l'arsenal de surveillance. Nous remonterons aux sources de la conception canadienne du droit à la vie privée, telle qu’elle se reflète dans les lois de protection des renseignements personnels, et proposerons l'adoption d'une approche contextuelle permettant de reconnaître à la fois la valeur intrinsèque de la vie privée et son caractère sensible aux situations concrètes.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.732
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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.015
GPT teacher head0.295
Teacher spread0.280 · 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
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

Citations0
Published2013
Admission routes2
Has abstractyes

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