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Record W2146464763

Revisiting the Arthurs Report Twenty Years Later

2003· article· en· W2146464763 on OpenAlexaffabout
Constance Backhouse

Bibliographic record

VenueSSRN Electronic Journal · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsScholarshipLegal educationDiversification (marketing strategy)Legal professionLegal researchEmpirical legal studiesLegal realismCurriculumLawInternational Legal English CertificatePolitical scienceJurisprudenceHierarchySociologyComparative lawPrivate lawBlack letter law
DOInot available

Abstract

fetched live from OpenAlex

Harry Arthurs' Law & Learning report of 1983 documented the low productivity of academic legal scholars in Canadian law schools. It recommended creating distinct streams for the academic study of law and professional legal education. This paper discusses developments to the legal scholarship landscape twenty years after the report. Positive changes include increased research grants available from SSHRC and a wealth of inspired interdisciplinary and critical legal scholarship. Some issues mentioned in the report remain problematic. Law professors still tend to have relatively little academic research training. Canadian educators still know little about how law school can prepare students for legal practice. Law schools face new trends and pressures not conceived of in Harry Arthurs' report. More women and racialized Canadians are entering the legal profession. Increased American influence and the privatization of universities have caused pressure to establish a hierarchy of Canadian law schools, and for schools to strategically specialize in niche areas of law. The article recommends diversification of law school faculties and student bodies, diversification of research, and diversification of curricula to accommodate more academic and social justice-focused course work.

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)0.008
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.857
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.022
GPT teacher head0.347
Teacher spread0.325 · 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

Citations4
Published2003
Admission routes2
Has abstractyes

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