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Record W2884435220

Vie privée et protection des renseignements personnels : revue de la jurisprudence 2017

2018· article· fr· W2884435220 on OpenAlex
Alexandre Thibeault, Antoine Guilmain

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLes Cahiers de propriété intellectuelle · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicEuropean Criminal Justice and Data Protection
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesJurisdictionPhilosophyLaw
DOInot available

Abstract

fetched live from OpenAlex

Le present article analyse plusieurs decisions en matiere de vie privee et de protection des renseignements personnels, presentee par priorite et axes d’interet. Nous debuterons par les enjeux de vie privee et de messages textes (axe 1), puis par les questions de juridiction (axe 2) et de territorialite (axe 3), nous poursuivrons sur l’angle de la concurrence (axe 4) pour finir sur les aspects anti-pourriel (axe 5). Cette structure jalonne selon nous les moments importants de l’annee 2017 en matiere de vie privee et de protection des renseignements personnels – etant entendu que d’autres decisions et enquetes, notamment du Commissariat a la protection de la vie privee du Canada et de la Commission d’acces a l’information du Quebec, soulevent egalement des questions interessantes, mais ecrire, c’est choisir, et choisir, c’est renoncer. The present article analyzes of several decisions regarding privacy and protection of personal information, presented by priority and axes of interest. We will begin with issues regarding privacy and text messages (axis 1), then questions of jurisdiction (axis 2) and territoriality (axis 3), we will continue on the angle of competition (axis 4) to finish with anti-spam aspects (axis 5). In our opinion, this structure lays out the key moments of 2017 in terms of privacy and protection of personal information – it being understood that other decisions and investigations, in particular by the Office of the Privacy Commissioner of Canada and the Quebec Access to Information Commission, also raise interesting

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient 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 score0.832
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.006
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.044
GPT teacher head0.315
Teacher spread0.271 · 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