MétaCan
Menu
← Back to cohort
Record W4391863597 · doi:10.51644/9780889205666-002

Preface

2006· book-chapter· en· W4391863597 on OpenAlexaboutno aff
James W. ST. G. Walker

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Racism is a hot and handy target.We recoil when accused of it, whether at the expense of Aboriginals, Jews, immigrants or Blacks, or in its more cultural anti-French, anti-English forms in Canada.Virtually no Canadian openly condones such beliefs or any acts based on them.Yet, we live in a country whose history remains full of words and deeds rooted in presumptions of racial superiority-inferiority.If we are to avoid leading unexamined lives, then the need for a definition of racism, in legal and in popular parlance, becomes all the more urgent.That is why James Walker 's cool, complex, vivacious reconstruction of these four case histories, analyzed within their well-documented social contexts, demands our full attention.And that is also why Wilfrid Laurier University Press and The Osgoode Society deserve Canada's gratitude for courageously publishing what some may think is an examination of our legal-judicial culture that is best left unacknowledged.Each case came before the Supreme Court of Canada and was resolved there.The two that could have been appealed further to England's Judicial Committee of the Privy Council were not.Each dramatically illustrated Canadian racism in action.Two plaintiffs challenged legislated racism, in 1912 and 1955; and two cases arose out of custom-based civil actions of private discrimination, in a public establishment (1939) and in a restrictive, private property covenant (1950).If the issue in each case had been put to a referendum, Walker 's evidence leaves little doubt that a majority of Canadian voters at each case's time would have allowed the racism.The juridical path proved equally accommodating, because in each case Canada's highest court effectively left racism where legislation and common practice placed it.

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)0.006
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 score0.668
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0050.004
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.6680.477

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 head0.013
GPT teacher head0.210
Teacher spread0.197 · 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
Published2006
Admission routes1
Has abstractyes

Explore more

Same topicCanadian Identity and History→French-language works237,207→