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Record W2510194358 · doi:10.5206/fpq/2016.1.4

Action-Guidance, Oppression, and Nonideal Theory

2016· article· en· W2510194358 on OpenAlexvenueno aff
Lisa H. Schwartzman

Bibliographic record

VenueFeminist Philosophy Quarterly · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsOppressionNormativeIdeal (ethics)EpistemologyAction (physics)SociologyMoralityNormative ethicsEnvironmental ethicsPolitical scienceLawPhilosophyPolitics

Abstract

fetched live from OpenAlex

Lisa Tessman’s Moral Failure: On the Impossible Demands of Morality raises important questions about ideal theory, oppression, and the role of action guidance in normative philosophy. After a brief overview of feminist and anti-racist philosophers’ critiques of ideal theory, I examine Tessman’s claim that nonideal oppression theorists focus too narrowly on action guidance and thereby obscure other important normative issues, such as the problem of moral failure. Although I agree with Tessman’s advocacy of a wider focus—and with her suggestion that situations of inevitable moral failure are particularly important to examine in contexts of oppression—I question whether nonideal oppression theorists actually emphasize action guidance to the exclusion of other concerns. I conclude with a brief examination of the way that ideal and nonideal theory have been defined and understood in debates about normative methodology, and I suggest that a move away from Rawls’s account of the ideal/nonideal distinction would benefit feminists and other oppression theorists.

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)0.011
metaresearch head score (Gemma)0.011
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 score0.011
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0050.067
Scholarly communication0.0060.009
Open science0.0020.005
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0030.001

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 head0.052
GPT teacher head0.339
Teacher spread0.287 · 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

Citations13
Published2016
Admission routes1
Has abstractyes

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