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Record W1588939777 · doi:10.26686/wgtn.17007385.v1

Public nudity and the right to freedom of expression: Balancing competing interests

2013· dissertation· en· W1588939777 on OpenAlexaboutno aff
Laura Mary Lincoln

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldComputer Science
TopicHate Speech and Cyberbullying Detection
Canadian institutionsnot available
FundersWellington City CouncilAuckland Council
KeywordsFreedom of expressionSupreme courtExpression (computer science)Scope (computer science)Test (biology)Political scienceLawHuman rightsBalancing testLaw and economicsSociologyComputer science

Abstract

fetched live from OpenAlex

<p>With little case law concerning nudity and the right to freedom of expression, this paper aims to uncover the appropriate frameworks to be used to determine the following questions: (a) when is public nudity “expression” for the purposes of s 14 of the New Zealand Bill of Rights Act 1990, and (b) in what circumstances involving “expressive” public nudity would it be reasonable and demonstrably justifiable to limit the right to freedom of expression using s 4(1)(a), as per s 5 of the Bill of Rights Act? As regards the first of these questions, this paper critiques the current test in use in New Zealand for determining whether conduct is expression – the test developed by the Canadian Supreme Court in Irwin Toy Ltd v Attorney-general (Quebec) – and advocates for the adoption of a purposive approach to determining the scope of the right to freedom of expression. As for the second of these questions, this paper advocates for the adoption of “the modified Hansen sequence” proposed by Professor Claudia Geiringer. This paper then uses recent examples of public nudity involving naturists and protestors to test these frameworks and to illustrate how they would operate in practice.</p>

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.657
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.013
GPT teacher head0.232
Teacher spread0.219 · 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 designBench or experimental
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
Published2013
Admission routes1
Has abstractyes

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