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Record W7022516560

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2020· other· en· W7022516560 on OpenAlexaboutno aff

Bibliographic record

VenueOAPEN (The OAPEN Foundation) · 2020
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular Mechanics and Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsVariety (cybernetics)TerminologyLegalizationPoliticsWishSubject (documents)
DOInot available

Abstract

fetched live from OpenAlex

"‘Should assisted dying be legal?’ is a question that has been and continues to be actively discussed throughout the Western world, leading several countries to change their laws in recent years. This anthology provides a thorough introduction to the question from a Nordic perspective. Contributing authors from Norway, Sweden, Denmark and Finland present the legal frameworks, practices and debates unique to each country. The book gives a broad overview of the issue and also conveys research and experiences from the Netherlands, the United States and Canada. The book has a clear tenor – in the form of a critical stance toward legalization. The primary emphasis is on arguments against legalization, although arguments in favor of legalization are also examined. An objective with this book is to advance the public exchange of opinion, and the authors put forth suggestions for common terminology and identify different tracks in the debate. Assisted Dying in the Nordic Countries? Ethics, Experience and Politics is an important book for those who wish to immerse themselves deeply in the question of assisted dying and the debate on legalization. The book is written for a broad audience, but will be particularly relevant for healthcare workers, students in medicine, other health-related fields and ethics, as well as politicians and journalists. The authors have varied backgrounds within medicine, philosophy, medical ethics, theology and linguistics, and they elucidate the question for a variety of professional and personal perspectives."

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Other · Consensus signal: Other
Teacher disagreement score0.928
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.6860.782

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 head0.009
GPT teacher head0.242
Teacher spread0.233 · 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
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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