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Record W2587242656

A Legal Analysis of the Access to Court Record Policies of the Provincial and Territorial Courts of the Common Law Jurisdiction of Canada and Public Accessibility

2016· dissertation· en· W2587242656 on OpenAlexaboutno aff
Anne A. Ko

Bibliographic record

VenueTSpace (University of Toronto) · 2016
Typedissertation
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsJurisdictionLawPolitical sciencePublic accessOriginal jurisdictionCommon lawPublic administration
DOInot available

Abstract

fetched live from OpenAlex

The Supreme Court of Canada has recognized the importance of court openness to public confidence in the transparency and integrity of the administration of justice. These principles are promoted when the public and media have access to court proceedings, which also includes access to court records. Canadaâ s highest court has also recognized the importance of the Charter right of expression and the mediaâ s essential role in disseminating information about the courts to the public, which means accessibility to the courts and records. However, there is inconsistency within the access to court record policies of the provincial and territorial courts of the common law jurisdiction of Canada. While some policies may recognize the importance of court openness and public accessibility, they may not contain provisions that meaningfully adopt these principles. Moreover, there is much debate and hesitation when it comes to digitization of court records and public accessibility.

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)0.004
metaresearch head score (Gemma)0.028
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 score0.869
Threshold uncertainty score0.947

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.008
Science and technology studies0.0120.011
Scholarly communication0.0110.003
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.019
GPT teacher head0.324
Teacher spread0.305 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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