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Record W4366222323 · doi:10.7202/1098567ar

An Ethics Journey: From Kant to Assisted Suicide

2023· article· en· W4366222323 on OpenAlexaffvenueabout
Michael Gordon

Bibliographic record

VenueCanadian Journal of Bioethics · 2023
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedical ethicsAssisted suicidePalliative careGeriatricsPsychologyMedical educationSociologyMedicineNursingPsychiatry

Abstract

fetched live from OpenAlex

Most of us would agree with the almost trite saying that “life is a journey”. Of course it is, unless it ends tragically at birth, and even then it is a very short journey. All of us can describe how we got from one stage in life to another, whether personal, family, education or career. Many journeys seem to be in an almost straight line while others meander from one place to another, changing direction and alternating goals, sometimes zigging back and forth. I have had many wonderful journeys in my life; the choice to change career aspirations from engineering to medicine, the choice the study in medicine in Scotland, the choice to focus on geriatrics and then the choice to branch out into medical ethics to add more depth to clinical medicine. The early undergraduate study of philosophy planted the seed that eventually grew into my completing a Master’s in Medical Ethics; and then expanding my teaching and practice to include palliative care and end of life-decision-making, to most recently participating in the assessment of those requesting medical assistance in dying (MAID 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)0.032
metaresearch head score (Gemma)0.096
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.609
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0320.096
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.028
Insufficient payload (model declined to judge)0.0010.001

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 head0.504
GPT teacher head0.582
Teacher spread0.078 · 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
Published2023
Admission routes3
Has abstractyes

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