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Record W2095824826 · doi:10.1017/s0265052502192016

BIOETHICS AND THE PROBLEM OF PLURALISM

2002· article· en· W2095824826 on OpenAlexaff
Donald C. Ainslie

Bibliographic record

VenueSocial Philosophy and Policy · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPluralism (philosophy)DoctrinePoliticsUtilitarianismLaw and economicsEconomic JusticeState (computer science)Political philosophyAutonomyPublic reasonSociologyMoralityPower (physics)LawPolitical scienceEpistemologyEnvironmental ethicsPhilosophyDemocracy

Abstract

fetched live from OpenAlex

The state that we inhabit plays a significant role in shaping our lives. For not only do its institutions constrain the kinds of lives we can lead, but it also claims the right to punish us if our choices take us beyond what it deems to be appropriate limits. Political philosophers have traditionally tried to justify the state's power by appealing to their preferred theories of justice, as articulated in complex and wide-ranging moral theories—utilitarianism, Kantianism, and the like. One of John Rawls's greatest contributions to political philosophy has been his recognition that this is the wrong way for this field to approach its task. He points to what he calls “the fact of reasonable pluralism,” which is the incontestable fact that in a free society people striving to lead their lives ethically will subscribe to conflicting moral and religious doctrines, many of which will be “reasonable” in the special sense of leaving their adherents willing to cooperate with those with whom they have moral disagreements. And this means that political philosophers can no longer rely on any particular “comprehensive” doctrine in their attempts to justify the state. For doing so would be unfair to those who subscribe to a conflicting reasonable doctrine; it would mean that the coercive power of the state would not be justified to them in terms they can accept, even while they were forced to abide by its terms.

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)0.031
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.031
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0150.103
Scholarly communication0.0150.017
Open science0.0030.010
Research integrity0.0130.022
Insufficient payload (model declined to judge)0.0060.001

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 head0.110
GPT teacher head0.365
Teacher spread0.255 · 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 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

Citations19
Published2002
Admission routes1
Has abstractyes

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