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Integrity, Personal, and Political

2020· book· en· W4285646952 on OpenAlexaff
Shmuel Nili

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsScience North
Fundersnot available
KeywordsPoliticsPolitical scienceBusinessLaw

Abstract

fetched live from OpenAlex

Abstract Conventional philosophical wisdom holds that no agent can invoke its own moral integrity—no agent can invoke fidelity to its deepest ethical commitments—as an independent moral consideration. This is because moral integrity simply consists in doing what is, all-things-considered, the right thing. Shmuel Nili argues that this conventional wisdom is mistaken with regard to individual agents, but is especially misguided with regard to liberal democracies as collective agents. Even more than individual persons, liberal democracies as collective agents often face integrity considerations of independent moral force, affecting the moral status of actual political decisions. After defending this philosophical thesis, Nili illustrates its practical value in thinking through a wide range of practical policy problems. These problems range from “dirty” national security policies, through the moral status of political honors celebrating political figures of questionable integrity, to the “clean hands” dilemmas of political operatives who enable media demagogues to scapegoat vulnerable ethnic and racial minorities. Accessibly written, and combining detailed philosophical analysis with numerous vivid real-world examples, Integrity: Personal and Political will appeal to moral, legal, and political philosophers, to political scientists, and to scholars of political communication.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.401
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.128
GPT teacher head0.372
Teacher spread0.244 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations7
Published2020
Admission routes1
Has abstractyes

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