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Record W2558599784

Clinical Legal Education in Canada: A Survey of the Scholarship

2015· article· en· W2558599784 on OpenAlexaffabout
Sarah Bühler

Bibliographic record

VenueSSRN Electronic Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsLegal educationScholarshipEmpirical legal studiesPolitical scienceLegal researchPoliticsEconomic JusticeLawEngineering ethicsMedicineEngineering
DOInot available

Abstract

fetched live from OpenAlex

In response to the growing interest in clinical education, the author provides an overview and assessment of Canadian clinical law scholarship. In particular, the article focuses on eight broad themes/ categories of Canadian clinical legal scholarship: (1) the practical experience rationales for clinical legal education; (2) the political and social justice rationales and implications of clinical legal education; (3) the place of clinical legal education within legal education; (4) critiques of clinical legal education; (5) clinical pedagogy, theory, and methodology; (6) clinical program design and policy considerations; (7) student perspectives on clinical legal education; and (8) histories and approaches of particular clinical legal education programs across the country. In conclusion, the author considers areas for further research and writing in order to encourage a more comprehensive theoretical basis to describe, analyze, and critique clinical law practice and teaching.

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)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.990
Threshold uncertainty score0.874

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0100.029
Science and technology studies0.0140.005
Scholarly communication0.0090.002
Open science0.0020.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.093
GPT teacher head0.432
Teacher spread0.339 · 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.

Study designObservational
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

Citations1
Published2015
Admission routes2
Has abstractyes

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