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Record W4399404765 · doi:10.1515/9782760623774-002

Preface

2002· book-chapter· en· W4399404765 on OpenAlexaboutno aff

Bibliographic record

VenueLes Presses de l'Université de Montréal eBooks · 2002
Typebook-chapter
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Each man's own life is the subject-matter of the art of living.-EPICTETUS1 H EALTH is one of humankind's greatest preoccupations as we enter the twenty-first century, and I have often had occasion to speak of health in the light of Buddhist perspectives on life.In On Being Human, I am pleased to present the views of the eminent medical scientist Rene Simard, rector of the University of Montreal from 1993 to 1998, and the outstanding bioethicist Guy Bourgeault, professor of ethics at the same institution.Rapid scientific and technological breakthroughs have enabled modern civilization to make great strides toward what could be termed "happiness."We have eradicated many of the ills that have long afflicted humankind, including numerous infectious diseases.Highly specialized techniques in other areas, particularly surgery, now enable us to heal pathological conditions once considered incurable.The twenty-first century has been hailed as an age of biotechnology.Treatments for cancer, AIDS, cardiac disorders, and other intractable diseases will advance steadily, buoyed by the fruits of the latest medical technology designed for application to cells and genes and encroaching on the functions of the brain itself.Biotechnology has

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: Editorial · Consensus signal: none
Teacher disagreement score0.421
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.4210.218

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 head0.038
GPT teacher head0.225
Teacher spread0.187 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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
Published2002
Admission routes1
Has abstractyes

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Same venueLes Presses de l'Université de Montréal eBooksSame topicNeuroethics, Human Enhancement, Biomedical InnovationsFrench-language works237,207