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Record W2063320811 · doi:10.1093/analys/anr028

Blind Obedience: Paradox and Learning in the Later Wittgenstein * By MEREDITH WILLIAMS

2011· article· en· W2063320811 on OpenAlexaff
Andrew Lugg

Bibliographic record

VenueAnalysis · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicWittgensteinian philosophy and applications
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPhilosophyEpistemologyNaturalismNormativeArgumentativePluralConstructiveObedienceAssertionPsychologyLinguisticsComputer scienceSocial psychology

Abstract

fetched live from OpenAlex

Meredith Williams is unimpressed by ‘constructive/theoretical’ and ‘resolute/therapeutic’ approaches to the Philosophical Investigations (1). She takes Wittgenstein’s repudiation of speculation in philosophy seriously but resists interpreting him as engaged in a purely critical endeavour. There is, she holds, ‘a complex interweaving of the diagnostic and positive’ and ‘[a] consequence of the critical diagnostic work is a positive picture’ (313). Taking the Investigations to be ‘a highly structured argumentative text directed to pursuing a fundamental new problem in philosophy’ (3), Williams interprets Wittgenstein as resolving ‘the problem of normative similarity’ (12), i.e. the problem of how meaningful goings-on differ from brute physical happenings. She suggests that ‘Wittgenstein’s diagnostic method is tied to his use of two powerful arguments (3). By uncovering hidden contradictions and exposing grammatical errors, she argues, Wittgenstein shows that important philosophical theories of language and the mind are ‘self-defeating’ and ‘[i]n removing them, [his] “normative naturalism” can be seen’ (315).

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)0.005
metaresearch head score (Gemma)0.012
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 score0.006
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.041
Scholarly communication0.0060.013
Open science0.0010.005
Research integrity0.0030.006
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 head0.043
GPT teacher head0.223
Teacher spread0.180 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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