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Record W2265995899

The Justice of Access: Who Should Have Standing to Challenge the Constitutional Adequacy of Legal Aid?

2007· article· en· W2265995899 on OpenAlexaffabout
Lorne Sossin

Bibliographic record

VenueSSRN Electronic Journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsYork University
Fundersnot available
KeywordsCharterSupreme courtPolitical scienceLawEconomic JusticeConstitutional rightDiscretionPublic interestSociology
DOInot available

Abstract

fetched live from OpenAlex

In Canadian Bar Assn. v. British Columbia, the British Columbia Supreme Court dismissed a claim from the Canadian Bar Associated (CBA), which was seeking a declaration to recognize a constitutional right to legal aid in civil justice. The basis for the Court dismissing the claim was that the CBA lacked standing to bring the suit. In the analysis below, I argue that the Court misconstrued the test for public interest standing and failed to appreciate the role of Charter principles, including the principle of access to justice, in applying this test. The Court has created an artificial dichotomy between “individual” and “systemic” Charter litigation, the result of which will be to further erode access to justice in Charter cases involving social rights.There is a certain uncomfortable irony in a case denying the right to lawyers to argue for better access to justice. An organization like the CBA is distinctly well-suited to argue for the access to justice rights on behalf of those unable to do so because the cost of civil justice is out of reach. In this comment, I explore how issues such as the constitutional right to legal aid ought to be raised by public interest groups and why judicial discretion in applying public interest standing should facilitate such litigation.

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)0.011
metaresearch head score (Gemma)0.021
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 score0.095
Threshold uncertainty score0.189

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0120.048
Scholarly communication0.0120.016
Open science0.0020.008
Research integrity0.0140.012
Insufficient payload (model declined to judge)0.0070.001

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 head0.066
GPT teacher head0.367
Teacher spread0.302 · 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

Citations2
Published2007
Admission routes2
Has abstractyes

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