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“A Tough Bitch”: Lynn Margulis and the Gaian Sublime

2025· article· en· W4410205495 on OpenAlexafffund
Maxime Fecteau

Bibliographic record

VenueEcozon European Journal of Literature Culture and Environment · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEarth Systems and Cosmic Evolution
Canadian institutionsUniversité du Québec à Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSublimeArtArt history

Abstract

fetched live from OpenAlex

This essay challenges Bruno Latour’s elegiac pronouncement of the sublime’s death in the Anthropocene, proposing instead a “Gaian sublime” emerging from Lynn Margulis’s radical reconceptualization of planetary life. Analysis of Margulis’s scientific nonfiction reveals how her work on microbial agency and symbiosis disrupts traditional sublime theory’s emphasis on human transcendence and geological spectacle. The essay traces how sublime aesthetics, from Longinus through Burke and Kant to contemporary environmental thought, has historically reinforced racial hierarchies, gender binaries, and human exceptionalism. Margulis’s perspective offers a crucial corrective by revealing Earth’s smallest inhabitants as its most profound transformers, generating sublime experience not through nature’s brute force but through recognition of life’s collaborative creativity across scales and through deep time. This reframing moves beyond both conventional sublime theory and contemporary Anthropocene discourse, demonstrating how scientific understanding might enhance rather than diminish the capacity for awe and wonder. The Gaian sublime thus emerges as both aesthetic category and mode of attention, potentially enabling more ethically attuned relationships with our living planet.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.022
Scholarly communication0.0050.006
Open science0.0010.004
Research integrity0.0030.003
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 head0.003
GPT teacher head0.153
Teacher spread0.150 · 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 designNot applicable
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

Citations1
Published2025
Admission routes2
Has abstractyes

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