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Record W1487650628 · doi:10.5553/tmd/2013017002003

Perspectives on Access to Justice and Dispute Prevention and Resolution: The Canadian Experience

2013· article· en· W1487650628 on OpenAlexaboutno aff
Jean-François Roberge

Bibliographic record

VenueNederlands-Vlaams tijdschrift voor mediation en conflictmanagement · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Law Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDispute resolutionEconomic JusticeAlternative dispute resolutionOnline dispute resolutionPolitical scienceCriminologyBusinessPublic relationsPsychologyLaw

Abstract

fetched live from OpenAlex

Perspectives on Access to Justice and Dispute Prevention and Resolution: The Canadian Experience Providing access to justice is a major challenge for any judicial system. Canada has gone to great lengths to meet this challenge over the past thirty years, in part by developing alternative dispute resolution methods. Unfortunately, results have been mixed. Canadian society is currently preparing to renew its vision of access to justice and the contribution of dispute resolution methods in meeting that challenge. What lessons can we learn from Canada’s experience? What are the new directions and initiatives for access to justice? Our paper suggests that the Canadian experience can make two contributions to the access to justice debate. First, we suggest that the notion is evolving in the legal community from an institutional perspective to a contextual vision of access to justice. Second, we point out an evolution of alternative or appropriate dispute resolution methods toward a participatory justice movement. Our paper proposes a new Canadian perspective on access to justice and dispute resolution methods.

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)0.008
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.234
Threshold uncertainty score0.888

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.010
Science and technology studies0.0710.039
Scholarly communication0.0160.005
Open science0.0040.009
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0120.000

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 head0.033
GPT teacher head0.331
Teacher spread0.299 · 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 designQualitative
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
Published2013
Admission routes1
Has abstractyes

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