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Record W2274205176

Clinical Legal Education: A (Brief) Comparison of the Evolving Structures and Pedagogy in Mexico, Canada and the United States

2014· article· en· W2274205176 on OpenAlexaboutno aff
Elizabeth Keyes, David C. Koelsch, Alejandro Posadas

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsLegal educationPolitical sciencePedagogyPublic administrationSociologyLaw
DOInot available

Abstract

fetched live from OpenAlex

This Article highlights the development and current state of clinical legal education in Canada, the United States, and Mexico, and examines recent trends in clinical legal education in each country. This is a timely topic. Canadian clinics and, in particular, Ontario-based law school affiliated clinics are grappling with recently-imposed post-graduation alternatives to traditional articling practices, while Canadian law schools are examining whether additional experiential courses should be offered to law students. U.S. law schools face difficult choices with respect to clinical education in light of sustained lower enrollments and resulting adjusted budget realities, as well as the pressures of meeting the needs of a radically restructured legal marketplace. Mexican legal clinics have a proud and storied history of providing free legal services to local communities and are rapidly evolving into more formal structures, even as the market for a legal education in Mexico is undergoing a transformative change.

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 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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.042
GPT teacher head0.451
Teacher spread0.409 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations2
Published2014
Admission routes1
Has abstractyes

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