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Record W2591853991

The Personal Information Protection and Electronic Documents Act: A Comprehensive Guide by William Charnetski, Patrick Flaherty and Jeremy Robinson (Toronto Canada Law Book Inc., 2001)

2002· article· en· W2591853991 on OpenAlexaboutno aff
Teresa Scassa

Bibliographic record

VenueeYLS (Yale Law School) · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicFreedom of Expression and Defamation
Canadian institutionsnot available
Fundersnot available
KeywordsLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The Personal Information Protection and Electronic Documents Act: A Comprehensive Guide (the Guide) is the second book to be published in English in Canada dealing expressly with the Personal Information Protec- tion and Electronic Documents Act (PIPEDA). The Guide is different from the earlier work, in that it is not a section by section discussion or annotation of the provisions of PIPEDA. Rather, it is organized into eight chapters, each addressing a distinct theme or topic. The Guide is also aimed at a more professional audience than the earlier work. In its introduction, and in its choice of content, it focuses more on specific problems and interpretive issues under PIPEDA, than on giving a general overview and explanation of the legislation.\nThe authors of the Guide reflect the more profes- sional and practice oriented nature of the book. All three authors are lawyers whose areas of practice include varying aspects of privacy law. Their objective in preparing the work is clear; it is meant to identify legal issues of importance to lawyers and entrepreneurs. The brief introduction to the book refers to the legislation as ‘‘consumer protection for the digital economy’’, and cautions that: ‘‘no business or other entity to which the Act potentially applies can afford either to ignore it or to attempt to comply with its provisions in an ad hoc fashion’’.

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)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.620
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.232
Teacher spread0.223 · 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 teacher head, not a consensus.

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
Published2002
Admission routes1
Has abstractyes

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