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Record W2073664285 · doi:10.1177/1357034x07074761

Beyond the Autopoietic Principle? A Preliminary Analysis of the Freudian Cell

2007· article· en· W2073664285 on OpenAlexaff
Joshua Ben David Nichols

Bibliographic record

VenueBody & Society · 2007
Typearticle
Languageen
FieldNeuroscience
TopicEmbodied and Extended Cognition
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTeleologyEpistemologyPhilosophyDeterminativeAnalogyCausationNatural (archaeology)MetaphysicsAutopoiesisInterpretation (philosophy)Freudian slipNaturalismNothingDeath drivePsychologyPsychoanalysis

Abstract

fetched live from OpenAlex

This article begins with the question, is mind prefigured in life? Andreas Webber and Francisco Varela argue that the autopoietic model in combination with Jonas's theory of metabolism provide a more robust model than Kant's account of natural teleology in the third critique, and thus it is able to make a claim to, at least, a pre-figuration of human freedom. I argue that Freud's illustration of the death drive via the analogy of the cell in Beyond the Pleasure Principle provides a valuable counter-example to Jonas's conception of metabolism and exposes the type of metaphysical assumptions that the Kantian project was so averse to. My intention here is not to reify either Jonas or Freud's claims on the determinative nature of natural causation; rather it is to argue that each exists as valuable heuristic tools. Any causal determinative judgment on the nature of natural teleology must be exercised with nothing less than a Kantian level of caution as the implication of placing the value of the coherence of our conceptual structures over the actual mechanical processes of the natural world confronts us with the direct risk of misrecognition on a massive scale.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.008
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.015
GPT teacher head0.265
Teacher spread0.250 · 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
Published2007
Admission routes1
Has abstractyes

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