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Record W2316443630 · doi:10.1017/s0829320100007420

Still “Law” and Still “Learning”? Quel «droit» et quel «savoir?»

2003· article· en· W2316443630 on OpenAlexaffabout
Roderick A. Macdonald

Bibliographic record

VenueCanadian Journal of Law and Society / Revue Canadienne Droit et Société · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsMcGill University
Fundersnot available
KeywordsAdjudicationLegal researchLawAgency (philosophy)MandatePolitical scienceLegal educationCommissionLegal professionSociologySocial science

Abstract

fetched live from OpenAlex

The fact that we are celebrating the 20 th anniversary of the Report of the SSHRC Consultative Group on Research and Education in Law and that the event is cast as a celebration of the Arthurs Report signals two key features of legal research and legal education in Canada today. To begin, it tells us that, at least in certain scholarly circles, the Report has had an impact. That impact can be seen both in the mirror of the past, and in the lens of the present. Looking backwards, the early success of this Association and the founding of its review - the Canadian Journal of Law and Society – attest to the immediate galvanic effect of the Report ; its continuing influence is manifest, notably, in the decision of the SSHRC last year to create a separate adjudication panel for law and society research. Between these salient bookends, one observes that the Report has been called in aid of numerous projects, programmes and initiatives. Let me mention only two (with which I had some prior association) that took on a relatively permanent institutional form: the Law and Society (later Law and the Determinants of Social Order) Programme of the Canadian Institute for Advanced Research that flourished between 1986 and 1996; and the re-establishment in 1997 of a multi-disciplinary federal law reform agency – the Law Commission of Canada – that was charged with pursuing a law and society research mandate.

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)0.003
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: Empirical
Teacher disagreement score0.881
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.310
Teacher spread0.282 · 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

Citations5
Published2003
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Law and Society / Revue Canadienne Droit et SociétéSame topicLegal Education and Practice InnovationsFrench-language works237,207