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Record W2960787776 · doi:10.29173/jjs61s

Writing Nature with Darwin, Darwinism and Jung

2010· article· en· W2960787776 on OpenAlexvenueno aff
Susan Rowland

Bibliographic record

VenueJournal of Jungian Scholarly Studies · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicReligious Studies and Spiritual Practices
Canadian institutionsnot available
Fundersnot available
KeywordsDarwinismPsycheDarwin (ADL)MythologyPhilosophyOrder (exchange)LiteratureNatural (archaeology)EpistemologyId, ego and super-egoHistoryPsychoanalysisArtPsychologyArchaeology

Abstract

fetched live from OpenAlex

Charles Darwin and C. G. Jung were revolutionary thinkers about the role of human beings in the natural world. While Darwin’s Origins of Species (1859) sought to remove both God and “man” from the centre of the understanding of nature, C. G. Jung, one generation later, aimed to remove the ego from the central definition of human nature. Although both theorists have been explored for their conceptual ideas, neither has been seriously considered as writers, and in particular as writers of nature and human nature. This paper shows how similar these authors are in treating the unknowable in the psyche and history as of major significance. In particular, both writers require the resources of ancient myth, especially of nature as an Earth Mother goddess in order to represent the inconceivable. The paper also looks at the new critical practice of “literary Darwinism,” which, while viable in its own terms, suffers from being neither “literary,” nor “Darwinian.”

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)0.006
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: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.014
Scholarly communication0.0050.006
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.290
Teacher spread0.264 · 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
Published2010
Admission routes1
Has abstractyes

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