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Record W1974389621 · doi:10.5539/ass.v4n1p108

Advance Care Directives and the Position in Ireland: What lessons can Ireland learn from the United Kingdom, the United States and Europe?

2007· article· en· W1974389621 on OpenAlexvenueno aff
Laura Donnellan

Bibliographic record

VenueAsian Social Science · 2007
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsnot available
Fundersnot available
KeywordsDirectiveCommissionLawLegislationPosition (finance)DignityPolitical scienceIrishMental Health ActConvention on the Rights of Persons with DisabilitiesConventionCommon lawSafeguardingMental healthPsychologyMedicineBusinessNursing

Abstract

fetched live from OpenAlex

An Advance care directive entitles a person to request in advance either the refusal of or consent to certain medical treatment if that person is not competent to consent or refuse at the time such refusal or consent is required. The 2003 Law Reform Commission’s Consultation Paper on Law and the Elderly briefly mentioned advance directives. However, the Paper decided to leave the issue to a future Paper that would give a more comprehensive analysis. There is no Irish legislation on the matter and consequently the legal position is unclear. The English Mental Capacity Act 2005 has given recognition to advance directives under section 24. It is interesting to note that only refusal is covered by the Act. The 2005 Law Reform Commission Consultation Paper on Vulnerable Adults discusses the issue of advance directives in more detail. This Paper will examine the Irish position of advance directives. The British Mental Capacity Act and recent case law will provide a comparative analysis. The UN Convention on the Protection of the Rights and Dignity of Persons with Disabilities will also be examined.

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)0.021
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.138
Threshold uncertainty score0.274

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.043
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0070.042
Scholarly communication0.0170.023
Open science0.0030.011
Research integrity0.0100.019
Insufficient payload (model declined to judge)0.0070.001

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 head0.029
GPT teacher head0.375
Teacher spread0.346 · 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 designQualitative
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

Citations1
Published2007
Admission routes1
Has abstractyes

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