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Record W7009761377

The First Amendment in Cross-Cultural Perspective: A Comparative Legal Analysis of the Freedom of Speech

2006· article· en· W7009761377 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2006
Typearticle
Languageen
FieldComputer Science
TopicHate Speech and Cyberbullying Detection
Canadian institutionsnot available
Fundersnot available
KeywordsFree speechFirst amendmentDemocracyConstitutionConstitutional lawFree willSign (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

The First Amendment—and its guarantee of free speech for all Americans—has been at the center of scholarly and public debate since the birth of the Constitution, and the fervor in which intellectuals, politicians, and ordinary citizens approach the topic shows no sign of abating as the legal boundaries and definitions of free speech are continually evolving and facing new challenges. Such discussions have generally remained within the boundaries of the U.S. Constitution and its American context, but consideration of free speech in other industrial democracies can offer valuable insights into the relationship between free speech and democracy on a larger and more global scale, thereby shedding new light on some unexamined (and untested) assumptions that underlie U.S. free speech doctrine.\nRonald J. Krotoszynski, Jr., compares the First Amendment with free speech law in Japan, Canada, Germany, and the United Kingdom—countries that are all considered modern democracies but have radically different understandings of what constitutes free speech. Challenging the popular—and largely American—assertion that free speech is inherently necessary for democracy to thrive, Krotoszynski contends that it is very difficult to speak of free speech in universalist terms when the concept is examined from a framework of comparative law that takes cultural difference into full account.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.756
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.012
GPT teacher head0.276
Teacher spread0.263 · 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 designObservational
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
Published2006
Admission routes1
Has abstractyes

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