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Record W7016173047

Whether the court should consider the concept of dignity in decisions regarding end-of-life ethics?

2024· article· en· W7016173047 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2024
Typearticle
Languageen
FieldMedicine
TopicPatient Dignity and Privacy
Canadian institutionsnot available
Fundersnot available
KeywordsDignityLegislationObligationOppressionAutonomy
DOInot available

Abstract

fetched live from OpenAlex

The concept of dignity is seldom mentioned or considered throughout Canada’s legal system. We rarely see legislation or court decisions that entail the concept of dignity, either explicitly or implicitly. When dignity is discussed, it is often looked at as an abstract and unspoken factor of jurisprudence. Yet, the concept of dignity is present in almost every sphere of human life and within a person’s right to die. It begs the question, should the courts consider the concept of dignity in decisions regarding end-of-life ethics? When dignity is viewed as the foundation of human life, is there an obligation to consider a person’s dignity when attempting to access Medical Aid in Dying measures or palliative care?\nThis three-episode podcast looks to explore these very questions. The first episode of the podcast looks at whether dignity exists in the Canadian constitution, what the working definition of dignity entails, and how we explore dignity in an academic and legal context. The second episode of the podcast explores the current landscape of dignity in the judiciary, the impact of systematic discrimination and oppression on dying with dignity, as well as the current legislation and short-comings of end-of-life ethics. The third and final episode analyzes how the judiciary should address the impact of systematic discrimination and oppression, as well as indignity, on an individual’s ability to access end-of-life ethics.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.915

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.181
GPT teacher head0.346
Teacher spread0.165 · 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 designObservational
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
Published2024
Admission routes1
Has abstractyes

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