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Record W1797219057

From Knowledge to Ontological Awakening: Thinking Nature as Relatedness

2012· article· en· W1797219057 on OpenAlexvenueno aff
Sebastian Malette

Bibliographic record

VenueThe Trumpeter · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Ecology, and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsEpistemologySolipsismPhilosophy of mindReductionismExternalismMetaphysicsPhilosophyFunctionalism (philosophy of mind)Ontology
DOInot available

Abstract

fetched live from OpenAlex

In this paper, I examine the ontological valuation of what-stands-on-its-own in relation to the problem of thinking Nature beyond empirical reductionism and conceptual solipsism. Exploring the roots of this ontological valuation in Hellenistic philosophy, and its subsequent repositioning within the Christian doctrine of Creation, I suggest that the emergence of an externalist ontology has facilitated the rise of a paradigm of knowledge gradually discarding ontological or metaphysical objects of knowledge (such as Nature) because non-amenable to the criteria of functionalism and empirical fallibilism. I conclude this paper by suggesting that a relational ontology may offer an alternative to formulate an expression of Nature that can better resonate with our ecological findings in terms of ontological interdependency and interrelatedness, while avoiding the peril of both essentialism, reductionism and solipsism when it comes to thinking Nature.

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)0.006
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 score0.007
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.059
Scholarly communication0.0070.020
Open science0.0010.006
Research integrity0.0020.005
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 head0.040
GPT teacher head0.377
Teacher spread0.337 · 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

Citations2
Published2012
Admission routes1
Has abstractyes

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