MétaCan
Menu
Back to cohort
Record W2279239915

Clearly Canadian--Hill v. Colorado and Free Speech Balancing in the United States and Canada

2001· article· en· W2279239915 on OpenAlexaboutno aff
Donald L. Beschle

Bibliographic record

VenueHastings constitutional law quarterly · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicLaw, Rights, and Freedoms
Canadian institutionsnot available
Fundersnot available
KeywordsFree speechPolitical scienceGerontologyAudiologyMedicineLaw
DOInot available

Abstract

fetched live from OpenAlex

Two doctrines have equally influenced and informed the debate regrading the scope of the First Amendment free speech guarantee: absolutism versus the balancing of competing interests. Despite the language of the United States Constitution that suggests the application of absolutes, the courts have often resorted to balancing in the resolution of cases. This Article examines the debate by comparing the different approaches taken by the courts in the United States and Canada. This examination reveals that perhaps the two doctrines do not need to negate each other in their application, and that a recent decision by the United States Supreme Court signals a drift towards Canadian-style balancing in free speech cases.

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)0.002
metaresearch head score (Gemma)0.007
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: Empirical · Consensus signal: none
Teacher disagreement score0.062
Threshold uncertainty score0.452

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0200.009
Scholarly communication0.0070.002
Open science0.0010.002
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0090.000

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 head0.011
GPT teacher head0.218
Teacher spread0.207 · 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
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

Citations1
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueHastings constitutional law quarterlySame topicLaw, Rights, and FreedomsFrench-language works237,207