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Record W3123095849 · doi:10.60082/2817-5069.2728

Failure to Report: The Manifestly Unconstitutional Nature of the Human Smugglers Act

2014· article· en· W3123095849 on OpenAlexaffvenueabout
Jennifer Bond

Bibliographic record

VenueOsgoode Hall law journal · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCharterGovernment (linguistics)LegislationPolitical scienceAccountabilityHuman rightsIdeologyPoliticsLawCover (algebra)Law and economicsConstitutionPublic administrationSociologyEngineering

Abstract

fetched live from OpenAlex

This paper uses the Human Smugglers Act as a case study of what can happen when a Canadian government tables legislation that is highly controversial not only for reasons of ideology or policy, but also because it almost certainly violates the Charter. The conclusion is twofold: first, that a requirement originally meant to increase government accountability in the face of Canada’s human rights instruments is failing; and second, that this same requirement is now providing the government political cover to deflect legitimate constitutional critique while simultaneously avoiding substantive engagement. The result is an impoverished constitutional dialogue and a misled Canadian public.

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)0.016
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.050
Threshold uncertainty score0.362

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0240.040
Scholarly communication0.0090.003
Open science0.0030.003
Research integrity0.0090.012
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.287
Teacher spread0.274 · 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 designQualitative
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
Published2014
Admission routes3
Has abstractyes

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