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Record W1634339657 · doi:10.60082/2563-8505.1166

Searching for the Constitutional Core of Access to Justice

2008· article· en· W1634339657 on OpenAlexaboutno aff
Melina Buckley

Bibliographic record

VenueSupreme Court law review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic JusticePolitical scienceJusticiabilityLawMeaning (existential)Law and economicsSociologyPoliticsPsychology

Abstract

fetched live from OpenAlex

This paper posits that access to justice is both a large multifaceted concept with broad policy implications and also a constitutional commitment central to our legal system. It contends that the process of refining and giving contemporary meaning to the legal principle of access to justice is obfuscated by debate surrounding the broader policy concept because the duality plays into concerns over the respective roles of governments and the courts to ensure access to justice, which brings the justiciability of access to justice claims into question. The woeful state of civil legal aid programs across Canada is attributable in part to the confusion arising from this debate. The author proposes that a way forward can be found by disassociating the broad policy concept of access to justice from the narrower legal and constitutional principle. It is only this narrower meaning that gives rise to legal obligations and hence is within the purview of the courts. Three approaches to defining the constitutional core of access to justice are briefly explored: (1) access to the courts and the rule of law; (2) access to counsel and the right to a fair trial; and (3) access to justice and the equality benefit and protection of the law. Finally, the paper discusses Canadian Bar Assn. v. British Columbia as an example of a case that offers the opportunity to search for and further refine the constitutional core of access to justice if it can be untangled from the web of justiciability concerns.

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)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.925
Threshold uncertainty score0.829

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.367
GPT teacher head0.508
Teacher spread0.141 · 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.

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
Published2008
Admission routes1
Has abstractyes

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