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Record W4391305203 · doi:10.15173/a.v3i1.3402

Theory Beyond Fukuyama-ism

2023· article· en· W4391305203 on OpenAlexaff
Zachary Gan

Bibliographic record

VenueAletheia · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsMcMaster University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

This essay argues that anti-capitalist resistance today is often strangulated by what I call “Fukuyama-ism”, or a widespread resignation to the hegemony of global capitalism at the level of the political and cultural unconscious. Using Kant’s famous text Perpetual Peace, I explore various dimensions of Fukuyama-ism and strategies to overcome its cultural pervasiveness. To this end, I consider Kant’s commentary on the relationship of theory and practice, and examine Kant’s defense of theory when set against practice or “practicality” in this manner. Similar to Kant’s concerns about the dominance of “practicality”, I argue that Fukuyama-ism powerfully relegates anti-capitalist resistance primarily to the realm of practice, thereby insulating Capitalism from systemic and theoretical critiques. I argue that Kant’s analysis of theory and practice has renewed relevance in the context of Fukuyama-ism in order to reinvigorate anti-capitalist resistance and shed the pervasive hold of Fukuyama-ism over our political and cultural imaginations. Presently, we must heed Kant’s call to dismantle the notion that theory and practice can be in any way antithetical, and re-assert the power of theory to imagine new methods of resistance to an environment of an all-encompassing cultural Capitalism.

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)0.004
metaresearch head score (Gemma)0.004
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 score0.007
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.035
Scholarly communication0.0070.009
Open science0.0020.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.001

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 head0.024
GPT teacher head0.314
Teacher spread0.290 · 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
Published2023
Admission routes1
Has abstractyes

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