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Record W55524637 · doi:10.29173/alr310

Evaluating the Relevance of Critical Schools of Law and Economics for the Equality Rights of Workers with Disabilities in Canada and the United States

2008· article· en· W55524637 on OpenAlexaffvenueabout
Ravi Malhotra

Bibliographic record

VenueAlberta Law Review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversity of TorontoUniversity of Ottawa
Fundersnot available
KeywordsJurisprudenceRelevance (law)Government (linguistics)SociologyLawEconomicsLaw and economicsPolitical science

Abstract

fetched live from OpenAlex

This article examines the contributions of modern schools of law and economics to the equality rights of workers with disabilities. While neo-classical law and economics generally advocates the supremacy of free markets to operate without government interference and legal regulation, many of the newer schools of law and economics offer highly creative solutions and dynamic approaches that may offer real hope to people with disabilities. The merits and weaknesses of the theories of these modern schools are discussed in light of the social model of disability. The schools are examined by drawing on examples from Canadian and American jurisprudence. Specifically, the extent to which the schools provide robust explanations for labour market policy is explored. The author argues that neo-institutional law and economics, feminist law and economics, and critical race theory law and economics hold out the most promise for understanding the implications of the social model of disability.

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)0.008
metaresearch head score (Gemma)0.032
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.229
Threshold uncertainty score0.894

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.006
Science and technology studies0.0180.019
Scholarly communication0.0110.003
Open science0.0020.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.069
GPT teacher head0.358
Teacher spread0.289 · 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
Published2008
Admission routes3
Has abstractyes

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