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Record W4403829462 · doi:10.4324/9781003383598-14

Earth is Oikos

2024· book-chapter· en· W4403829462 on OpenAlexaboutno aff
Leonor María Martínez Serrano

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsEarth (classical element)AstrobiologyPhysicsAstronomy

Abstract

fetched live from OpenAlex

This chapter investigates Canadian poet Peter Sanger’s ecological thinking as expressed in an essay titled Oikos and argues that, at a time of alarming environmental degradation that is seriously compromising the habitability of the Earth, it is wise to listen closely to poet-thinkers’ lessons on the moral imperative to protect the Earth. Sanger is not alone in thinking of the biosphere as a fragile place that needs our attention and respect. Rather, he is part of a long tradition sensitive to the vitality and livingness of the Earth that comprises the pre-Socratic poet-philosophers, the ancient Chinese poets and Buddhist sages, the Transcendentalists R. W. Emerson and H. D. Thoreau, Martin Heidegger, Aldo Leopold, Freya Mathews, David Abram, Jane Bennett, and a host of contemporary ecopoets and thinkers intent on denouncing the shameless exploitation of the planet, our shared home, with different degrees of belligerence and explicitness. Embracing a “non-anthropocentric humanism” (Iovino), they claim that there is another way to live on Earth, that is, with a sense of duty and responsibility.

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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.144
Threshold uncertainty score0.286

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.007
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.003

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 head0.016
GPT teacher head0.180
Teacher spread0.163 · 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
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

Citations0
Published2024
Admission routes1
Has abstractyes

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