MétaCan
Menu
Back to cohort
Record W3011799642 · doi:10.7202/1068481ar

Deep Ecology and Nature: Naess, Spinoza, Schelling

2020· article· en· W3011799642 on OpenAlexvenueno aff
Boris van Meurs

Bibliographic record

VenueThe Trumpeter · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Ecology, and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsDeep ecologyAppropriationEpistemologyPhilosophyProduct (mathematics)Identity (music)Environmental ethicsEcologySociologyAestheticsBiology

Abstract

fetched live from OpenAlex

In this article I will critically engage with Arne Naess's Deep Ecological appropriation of Spinoza's concept of Nature. I will argue that Naess falsely opposes the creative and created aspects of Nature, rather than thinking these two in concord. Because of this, his concept of Nature falls apart into two realms, which makes it impossible to think of Nature as one united whole. I will discuss the problems this leads to then propose that Schelling's philosophy of Nature is more apt as a Deep Ecological philosophy. Schelling's concept of Nature explicitly defines Nature as the identity of productivity and product, so that the rift in Naess's conception is overcome.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.026
Scholarly communication0.0050.009
Open science0.0010.003
Research integrity0.0030.005
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 head0.028
GPT teacher head0.307
Teacher spread0.279 · 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

Citations9
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueThe TrumpeterSame topicReligion, Ecology, and EthicsFrench-language works237,207