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Record W2725887378 · doi:10.5553/elr.000078

Administering Justice and Serving the People

2017· article· en· W2725887378 on OpenAlex
Catherine Piché

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueErasmus Law Review · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicComparative and International Law Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsEconomic JusticeSociologyPsychologyPolitical scienceCriminologyLaw

Abstract

fetched live from OpenAlex

Administering Justice and Serving the People Canada has a complex system of courts that seek to serve Canadians in view of the traditional objectives of civil justice – principally accessibility, efficiency, fairness, efficacy, proportionality and equality. The Canadian court system is generally considered by its users to work well and to have legitimacy. Yet, researchers have found that ‘there is a tendency for people involved in a civil case to become disillusioned about the ability of the system to effect a fair and timely resolution to a civil justice problem’. This article will discuss the ways in which reforms of procedural law and civil justice have originated and continue to be made throughout Canada, both nationally and provincially, as well as the trends and influences in making these reforms. With hundreds of contemporary procedural reforms having been discussed, proposed and/or completed since the first days of Canadian colonisation on a national basis and in the Canadian provinces and territory, providing a detailed analysis will prove challenging. This article will nonetheless provide a review of civil justice and procedural reform issues in Canada, focusing principally, at the provincial level, on the systems of Ontario and Quebec. Importantly, I will seek to reconcile the increasing willingness to have an economically efficient civil justice and the increased power of judges in managing cases, with our court system’s invasion of ADR and its prioritisation of informal modes of adjudication.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.108
GPT teacher head0.424
Teacher spread0.316 · 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