MétaCan
Menu
Back to cohort
Record W2363053423 · doi:10.29173/mlj858

Introduction: The Association for Canadian Clinical Legal Education (ACCLE) Conference 2012

2013· article· en· W2363053423 on OpenAlexaffabout
Sarah Bühler

Bibliographic record

VenueManitoba Law Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsLegal educationAssociation (psychology)Political scienceLibrary scienceMedicineLawPsychologyComputer science

Abstract

fetched live from OpenAlex

linical legal education has existed within Canadian legal education for over forty years.While the clinical law "movement" today in Canada is less prominent than it is in the United States, where according to Neil Gold and Philip Plowden the average law school hosts six clinics, 1 clinical law programs exist in most Canadian law schools, and it appears that many law schools in this country are seeking to expand their clinical law offerings.2 Certainly, clinical legal education has been the subject of increased interest and attention within Canadian law schools in recent years.This interest has arguably been precipitated by external pressures on law faculties, such as the set of "competencies" now required by the Federation of Law Societies of Canada as part of its recognition of the "approved Canadian common law degree", 3 the changes to the structure of the articling process in Ontario, 4 and the growing awareness of the access to justice crisis in Canada.

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)0.004
metaresearch head score (Gemma)0.007
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.986
Threshold uncertainty score0.681

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0050.002
Scholarly communication0.0050.002
Open science0.0020.003
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.2040.044

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 head0.058
GPT teacher head0.382
Teacher spread0.324 · 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
GenreEditorial

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 routes2
Has abstractyes

Explore more

Same venueManitoba Law JournalSame topicLegal Education and Practice InnovationsFrench-language works237,207