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Record W7133014402

Justice for All: Ontario's Civil Access to Justice System

2011· dissertation· en· W7133014402 on OpenAlexfundaboutno aff
Jordan Palmer

Bibliographic record

VenueTSpace · 2011
Typedissertation
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsEconomic JusticeGovernment (linguistics)Legal professionCivil law (Civil law)Legal actionCivil procedureAction (physics)
DOInot available

Abstract

fetched live from OpenAlex

This paper argues for increased access to civil justice in Ontario for citizens who cannot privately afford it (“needy citizens,” defined as those unable to engage in meaningful civil legal action due to financial inability). Access to justice is defined as access to trained legal representation as well as access to knowledge about Ontario civil law. The paper first articulates the theoretical underpinnings necessitating access to justice for all citizens. The paper then explores 5 common areas of Ontarian civil law (tort, residential, family, small business, and standard contract law) regarding access to civil justice within these regimes, and discusses 3 potential ways to remedy Ontario’s civil access to justice gap. These reforms are increasing government funding, an increase in activity by the legal profession of Ontario, and finally limited deregulation of Ontario’s law licensing process. The first two reforms are rejected, while the third is recommended.

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)0.002
metaresearch head score (Gemma)0.005
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: Other · Consensus signal: Other
Teacher disagreement score0.119
Threshold uncertainty score0.861

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.005
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0150.001

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 head0.248
GPT teacher head0.533
Teacher spread0.285 · 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
GenreOther

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
Published2011
Admission routes2
Has abstractyes

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