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Record W4381618292 · doi:10.5840/symposium20232714

Derrida’s Speculative Materialism/Marxism’s Promethean Scientism

2023· article· en· W4381618292 on OpenAlexvenueno aff
David Maruzzella

Bibliographic record

VenueSymposium · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy, Ethics, and Existentialism
Canadian institutionsnot available
Fundersnot available
KeywordsMaterialismScientismTranscendental numberEpistemologyPhilosophyDeconstruction (building)Argumentation theorySubject (documents)Transcendental philosophyTranscendental idealism

Abstract

fetched live from OpenAlex

This paper examines the relationship between deconstruction and Marxism by turning to recent attempts to read Derrida as a materialist philosopher. Following Martin Hägglund, I propose that Derrida’s critique of logocentrism implies a commitment to certain seemingly materialistic philosophical positions, most importantly, the radical foreclosure of an entity exempt from a transcendental field of differences. However, Derrida’s materialism remains speculative to the extent that it results in a philosophy of infinite finitude itself premised upon a transcendental style of argumentation excluded from scientific verification or falsification. By contrast, I suggest that Marxism with its commitment to Promethean scientism—the claim that all limits on human theory and practice are relative and subject to possible transformation—offers a more radical form of philosophical materialism.

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)0.006
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: Other · Consensus signal: Other
Teacher disagreement score0.007
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.038
Scholarly communication0.0060.006
Open science0.0010.005
Research integrity0.0030.005
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 head0.063
GPT teacher head0.279
Teacher spread0.216 · 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
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

Citations0
Published2023
Admission routes1
Has abstractyes

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