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Record W4383426650 · doi:10.7202/1101137ar

Kevorkian’s Legacy

2023· article· en· W4383426650 on OpenAlexaffvenue
Michael Gordon

Bibliographic record

VenueCanadian Journal of Bioethics · 2023
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGalileo (satellite navigation)Assisted suicideHistorySociologyLawEnvironmental ethicsPolitical scienceGeographyPhilosophy

Abstract

fetched live from OpenAlex

This history of the modern introduction of assisted suicide in North America follow a tortuous course, with complete rejection of the idea, to implementation in many of its jurisdictions. North America was not a leader in this approach to end-of-life care, with the Netherlands and Belgium playing that role. Tracing the path from a felonious and ethically anathematic place in North American society it was resurrected into a legally and ethically acceptable practice over a period of two decades. The historical course of PAS (Physician Assisted Suicide) and MAID (Medical Assistance in Dying) in many ways mimicked the evolution of other major changes in our view of the world, and like assisted suicide, experienced almost universal rejection and ultimately the embrace of those people and institutions that initially rejected the ideas first expressed by thoughtful and heroic persons. Galileo Galilei was one of the icons of science and discovery: he was almost burned at the stake during the Inquisition only to be “resurrected” to his place in the pantheon of great thinkers – but it took almost four hundred years to reach that pinnacle. We must be very careful how we interpret new ideas and thoughts about the process we apply and the consequences if we reject them.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.147
GPT teacher head0.379
Teacher spread0.232 · 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 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
Published2023
Admission routes2
Has abstractyes

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