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Record W2938151701

_Bioethics in Canada_, second edition

2019· article· en· W2938151701 on OpenAlexaboutno aff
Anthony Skelton

Bibliographic record

VenuePhilPapers (PhilPapers Foundation) · 2019
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsnot available
Fundersnot available
KeywordsBioethicsPolitical scienceLibrary scienceLawComputer science
DOInot available

Abstract

fetched live from OpenAlex

This is the second edition of the textbook Bioethics in Canada. It is the most up to date bioethics textbook on the Canadian market. Twenty-nine of its 54 contributions are by Canadians. All the chapters carried over from the first edition are revised in full (especially the chapters on obligations to the global poor, on medical assistance in dying, and on public health). It comprises *new* chapters on emerging genetic technologies and on indigenous peoples' health. It contains *new* case studies focusing on ethical issues and problems of relevance to Canadians. From the Preface: This anthology is designed for those teaching bioethics in colleges and universities in Canada. It comprises articles from researchers exploring the main problems of bioethics from a diversity of perspectives and ethical traditions. It includes in particular articles by Canadian researchers who appear in anthologies less often than they should. The hope is that the reader will, as a result, better appreciate the rich reservoir of talent present among those working in bioethics in Canada and Canadian bioethicists working abroad. In addition, this volume intentionally aims to educate the reader about the policies and laws regulating the most important and pressing bioethical problems facing Canadians. The hope is that the reader will develop a nuanced view of the nature, importance, and impact of bioethics in Canada.

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)0.007
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.835
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.007
Insufficient payload (model declined to judge)0.0460.009

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 head0.050
GPT teacher head0.425
Teacher spread0.375 · 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; both teacher heads agree on what is shown here.

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
Published2019
Admission routes1
Has abstractyes

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