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Record W6990966613

THE EXEMPTION APPROACH TOWARD RIGHTS

2018· article· en· W6990966613 on OpenAlexaboutno aff

Bibliographic record

VenueScholarly Commons (University of the Pacific) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicDiscrimination and Equality Law
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101PretextHyporeflexiaSubpoenaCircumstantial evidence
DOInot available

Abstract

fetched live from OpenAlex

Sensitive aerospace technology transfer and the manufacture of aeronautic and military components is subject to American law that places American security ahead of equality law. Reconciling the extraterritorial reach of powerful states and companies with domestic law can benefit from the ideas and solutions applied in other similar legal jurisdictions. The legal issue recently addressed by the Supreme Court of Canada in the Quebec v Bombardier Inc (Latif) decision has been consistently managed in Australia using a different approach more than eight years prior to Latif. In many ways Canada and Australia overlap in their respective economic, political, social, historical and legal cultures. However, Australian states traditionally enact much more detailed and nuanced private sector equality legislation, which is in turn subjected to broader administrative review and more adjudicative options than found in Canada. These differences permit Australia to employ the statutory exemption model. For public interest reasons relating to employment, the economy, defence, post-secondary education and research, private sector industries and companies may be granted indefinitely renewable exemptions from equality obligations. This article compares the Canadian legislation in Latif with the Australian State of Victoria’s Equal Opportunity Act 1995, which contains numerous “exemptions” to the equality principle as demonstrated in the Boeing Australia case. The more complicated and time-consuming Canadian approach renders less generalizable decisions than the proactive exemption model employed in Australia.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.870
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 studies0.0040.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.051
GPT teacher head0.269
Teacher spread0.217 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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