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Record W1535351796 · doi:10.22329/p.v2i2.236

Stopping the Anthropological Machine: Agamben with Heidegger and Merleau-Ponty

2007· article· en· W1535351796 on OpenAlexvenueno aff
Kelly Oliver

Bibliographic record

VenuePhaenEx · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Theology and Sovereignty
Canadian institutionsnot available
Fundersnot available
KeywordsHumanityPhilosophyEpistemologyHuman animalTheologyBiologyEcology

Abstract

fetched live from OpenAlex

Agamben maintains that Heidegger continues the work of the anthropological machine by defining Dasein as uniquely open to the closedness of the animal. Yet, Agamben’s own thinking does not so much open up the concept of animal as it attempts to save humanity from the anthropological machine that always produces the animal as the constitutive outside within the human itself. Agamben’s return to religious metaphors at best displaces the binary man-animal with the binary religion-science, and at worst returns us to a discourse at least as violent as the one from which he is trying to escape. Merleau-Ponty’s reanimation of science provides an alternative.

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)0.006
metaresearch head score (Gemma)0.013
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 score0.010
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.043
Scholarly communication0.0100.021
Open science0.0010.007
Research integrity0.0070.013
Insufficient payload (model declined to judge)0.0050.001

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 head0.023
GPT teacher head0.346
Teacher spread0.323 · 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

Citations33
Published2007
Admission routes1
Has abstractyes

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