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Record W6995996080

Professors Philip Girard (Osgoode), Jim Phillips (U of T) & R. Blake Brown (SMU) receive Canadian Law and Society Association’s W. Wesley Pue Book Prize Honourable Mention for A History of Law in Canada, Volume One

2019· article· en· W6995996080 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLegal historyPower (physics)Settlement (finance)Comparative lawCriminal lawPoliticsCivil law (Civil law)Political history
DOInot available

Abstract

fetched live from OpenAlex

A History of Law in Canada is the first of two volumes. Volume one begins at a time just prior to European contact and continues to the 1860s, while volume two will start with Confederation and end at approximately 2000. The history of law includes substantive law, legal institutions, legal actors, and legal culture. The authors assume that since 1500 there have been three legal systems in Canada – the Indigenous, the French, and the English. At all times, these systems have co-existed and interacted, with the relative power and influence of each being more or less dominant in different periods.\nThe history of law cannot be treated in isolation, and this book examines law as a dynamic process, shaped by and affecting other histories over the long term. The law guided and was guided by economic developments, was influenced and moulded by the nature and trajectory of political ideas and institutions, and variously exacerbated or mediated intercultural exchange and conflict. These themes are apparent in this examination, and through most areas of law including land settlement and tenure, and family, commercial, constitutional, and criminal law.

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.717
Threshold uncertainty score0.602

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.002
Scholarly communication0.0040.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1800.060

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 head0.032
GPT teacher head0.251
Teacher spread0.219 · 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
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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Same topicMulticultural Socio-Legal StudiesFrench-language works237,207