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Record W967315131 · doi:10.29173/alr1370

Expressive Harms and the Strands of Charter Equality: Drawing out Parallel Coherent Approaches to Discrimination

2002· article· en· W967315131 on OpenAlexvenueaboutno aff
Ron Levy

Bibliographic record

VenueAlberta Law Review · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDignitySupreme courtCharterJurisprudenceNormativeLawSociologyExpression (computer science)HarmLaw and economicsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

"Expressive harms " are rights violations that may arise from governmental expression through laws or state action, even absent material or otherwise tangible harms. Same-sex marriage provides an example: having won rights to most marriage- related economic benefits in M. v. H., gays and lesbians nevertheless fought for state recognition of their marriages in Halpern v. Canada The author delineates three conceptions of expressive harms. Among these are what may be termed "direct dignity harms"; on this conception, some forms of state expression exert effects upon human dignity without intermediate steps (for example, stereotyping) or ultimate material consequences (for example, exclusion from benefits). The author provides, in particular, an account of direct-dignity expressive harms and relates this account to the equality jurisprudence of s. 15 of the Charter. Finally, the author shows how the Supreme Court of Canada has implicitly incorporated expressive insights within s. 15, but suggests that the Court has done so with some incoherence. By failing to make explicit its reliance on several expressive and other rationales, the Court has produced an equality test with requirements derived from various conflated equality approaches, rendering the test unnecessarily onerous for some claimants.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.960
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.217
GPT teacher head0.340
Teacher spread0.123 · 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 designNot applicable
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

Citations2
Published2002
Admission routes2
Has abstractyes

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