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Record W2623145457

Philosophy in Pieces: The Aphorisms of Nietzsche's Human, All Too Human and Wittgenstein's Philosophical Investigations

2012· dissertation· en· W2623145457 on OpenAlexfundno aff
Jonathan Doering

Bibliographic record

VenueUWSpace (University of Waterloo) · 2012
Typedissertation
Languageen
FieldArts and Humanities
TopicNietzsche, Schopenhauer, and Hegel
Canadian institutionsnot available
FundersUniversity of Waterloo
KeywordsPhilosophyEpistemologyPhilosophical methodology
DOInot available

Abstract

fetched live from OpenAlex

This thesis considers the philosophical importance of the literary form of two aphoristic works of philosophy: Nietzsche’s Human, All Too Human and Wittgenstein’s Philosophical Investigations. Though both these German-speaking philosophers are widely thought to be aphorists, there is little consensus about what exactly is aphoristic about their individual or shared literary forms. While their philosophies and forms of aphorisms are quite different in practice, this thesis argues that Nietzsche’s and Wittgenstein’s modes of aphoristic expression are essential to their philosophical projects in these works. This thesis also explores the particular challenges of interpreting aphorisms in a philosophical context. Though aphorisms have various literary qualities, their status as discrete pieces of philosophy is of greatest interest here. Nietzsche and Wittgenstein match their piecework form of writing to various philosophical goals they set themselves. Their success as highly stylized, aphoristic philosophers is particularly remarkable in light of conventional philosophical writing, which is generally conducted in a much less “fragmented” form. By examining the styles, forms, structures, rhetorics, and interpretations of these two works, this thesis investigates the necessity and practice of their intriguing and difficult modes of expression.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.037
GPT teacher head0.228
Teacher spread0.191 · 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 designQualitative
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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueUWSpace (University of Waterloo)Same topicNietzsche, Schopenhauer, and HegelFrench-language works237,207