MétaCan
Menu
Back to cohort
Record W1577202197

Keeping students safe : photographs and privacy laws in Australia

2008· article· en· W1577202197 on OpenAlexaboutno aff
Michael Winram

Bibliographic record

VenueACEReSearch (Australian Council for Educational Research) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsProject commissioningLawPrivacy laws of the United StatesPublishingInternet privacyPolitical scienceComputer securityComputer scienceInformation privacy
DOInot available

Abstract

fetched live from OpenAlex

What are the legal rights and protections available to students? In the first of a two-part series, the author explains the law in relation to unauthorised photographs. In 2005, Philip Ruddock, then Commonwealth Attorney-General, was considering new laws to prohibit voyeuristic photography of children. It is worth considering exactly how the current laws relate to unauthorised photography, as well as considering the proposed law reform and the approaches of other common law countries. The Attorneys-General note, in a discussion paper on the issue, that it would be inappropriate to amend Australian copyright laws since these protect the intellectual property in a creative endeavour and can only provide remedies for acts connected to infringements of intellectual property rights. As an alternative, the Attorneys-General suggest that, for example, a Commissioner for Children be given the role of protecting children's reasonable interests with regard to unauthorised photographs. In this article, the author first examines the legal aspects of the right to privacy and the right not to be photographed, then questions whether there is currently protection under the Privacy Act in relation to unauthorised photographs, and concludes there is not, nor is there under common law. He then outlines protection currently available under criminal law in Victoria and New South Wales, with reference also to the criminal codes in New Zealand, Canada and the United Kingdom, before discussing the proposals put forward by the Attorneys-General. [Author abstract, ed]

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)0.008
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.516
GPT teacher head0.515
Teacher spread0.002 · 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 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

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueACEReSearch (Australian Council for Educational Research)Same topicCriminal Justice and Corrections AnalysisFrench-language works237,207