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Record W2472228386 · doi:10.1017/s1744552316000100

Exploring fatal facts: current issues in coronial law, policy and practice

2016· article· en· W2472228386 on OpenAlexaboutno aff
Rebecca Scott Bray, Greg Martin

Bibliographic record

VenueInternational Journal of Law in Context · 2016
Typearticle
Languageen
FieldMedicine
TopicAutopsy Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsScrutinyJurisdictionPublicityPoliticsLaw reformLawPolitical scienceHuman rightsPublic administrationSociology

Abstract

fetched live from OpenAlex

Abstract Death investigation and coronial practices have undergone significant social, political and legal scrutiny in recent years. A wave of coronial reform has occurred across jurisdictions, including in the United Kingdom (UK), Australia, Canada and New Zealand, with a concomitant focus on the adequacy of death investigation law and policy. Taking key coronial developments in the UK and Australia as its starting point, this paper explores a legal jurisdiction undergoing immense legal and policy reform to illustrate why coronial law and practice is of increasing scholarly interest. It begins by tracing the contentious landscape of UK coronial law reform, which has also resonated internationally, thereafter examining key controversies that refocused attention on the value of the jurisdiction, before discussing contemporary coronial issues including, publicity, human rights and death prevention.

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)0.087
metaresearch head score (Gemma)0.202
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 score0.087
Threshold uncertainty score0.463

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0870.202
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0090.055
Scholarly communication0.0250.026
Open science0.0040.012
Research integrity0.0150.014
Insufficient payload (model declined to judge)0.0080.001

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 head0.126
GPT teacher head0.431
Teacher spread0.305 · 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

Citations8
Published2016
Admission routes1
Has abstractyes

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