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Record W3184708473 · doi:10.1093/jmp/jhab012

Children, Fetuses, and the Non-Existent: Moral Obligations and the Beginning of Life

2021· article· en· W3184708473 on OpenAlexaff
Elizabeth Jackson

Bibliographic record

VenueThe Journal of Medicine and Philosophy A Forum for Bioethics and Philosophy of Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAbortionMoralityWonderTransformative learningMiscarriageRight to lifePhilosophical methodologyLawSociologyPsychologyEnvironmental ethicsEpistemologyPolitical sciencePhilosophyHuman rightsPregnancyDevelopmental psychology

Abstract

fetched live from OpenAlex

Abstract The morality of abortion is a longstanding controversy. One may wonder whether it is even possible to make significant progress on an issue over which so much ink has already been spilled and there is such polarizing disagreement (Boyle, 1994, The Journal of Medicine and Philosophy 19:183–200). The papers in this issue show that this progress is possible—there is more to be said about abortion and other crucial beginning-of-life issues. They do so largely by applying contemporary philosophical tools to moral questions involving life’s beginning. The first two papers defend the pro-life view from recent objections involving miscarriage and abortion doctors. The third shows how the social model of disability and the concept of transformative experience apply to classic debates like abortion and euthanasia. The final two papers address how rights and harms apply to children and to beings that do not yet exist. All five papers make a noteworthy contribution to the moral issues that arise at the beginning of life.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.862
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.015
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.094
GPT teacher head0.361
Teacher spread0.267 · 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.

Study designTheoretical or conceptual
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
Published2021
Admission routes1
Has abstractyes

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