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Record W83928166

Idiosyncrasy on the line: disciplinary surveillance, liberal surveillance, risk society and the UK ban on intercept evidence

2010· dissertation· en· W83928166 on OpenAlexaboutno aff

Bibliographic record

VenueUPT. Syiah Kuala University Library (Syiah Kuala University) · 2010
Typedissertation
Languageen
FieldSocial Sciences
TopicPrivacy, Security, and Data Protection
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceLegislatureLawHuman rightsCommon lawPublic administration
DOInot available

Abstract

fetched live from OpenAlex

This article reviews recent attempts at legislative and regulatory development in relation to the interception of telecommunications within the United Kingdom (UK). The ban on the use of intercept evidence within United Kingdom criminal procedures is critically evaluated in the light of the use of administrative detention for terror suspects and the United Kingdom's responsibilities under the European Convention on Human Rights. Drawing upon comparisons with Australia and Canada, the research analyses the differences between common law telecommunications interception regimes overseen by the executive or judiciary. The national administration of telecommunications interception is then re-assessed within the constructs of disciplinary surveillance, liberal surveillance and the risk society. Though frequently dismissed as an historical irrelevance, the United Kingdom position on regulation and evidential use of telecommunications intercept is determined as showing significant modernist surveillance tendencies. This is in contrast to Australia and Canada which show significant tendencies towards liberal surveillance and risk management. The author argues that the current regulatory framework for intercept within the UK lends itself to a re-imagining of Foucalt's Panopticon model. It is also suggested that human rights considerations are paradoxically blamed for sustaining the UK ban on intercept evidence, they are more likely to effect a change in the law than crime-fighting considerations.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0070.002
Scholarly communication0.0010.003
Open science0.0040.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.236
Teacher spread0.221 · 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
Published2010
Admission routes1
Has abstractyes

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