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Record W4412221915

Det metafysiske, det sanselige og det etiske:nye naturforståelser hos Schelling, Humboldt og Günderrode

2024· article· no· W4412221915 on OpenAlexaff
Sebastian Ørtoft Rasmussen, Martin Fog Lantz Arndal, Kristoffer Balslev Willert

Bibliographic record

VenueUniversity of Southern Denmark Research Portal (University of Southern Denmark) · 2024
Typearticle
Languageno
FieldImmunology and Microbiology
TopicAlexander von Humboldt Studies
Canadian institutionsInnovation Cluster (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Around 1800, a radical turn towards nature took place on the German intellectual scene. As an important event in the history of ideas, this turn has been highly topical in contemporary philosophical, literary, and historical research. One reason for this is that the representatives of this turn developed different understandings of nature – philosophical, scientific, aesthetic and ethical – which are seen by many as possible sources of inspiration for ecocritical research. These historical insights have provided new perspectives on acute questions about humanity’s relationship with nature that the climate and biodiversity crisis has put on the agenda. In this article, we examine this turn towards nature through three romantic thinkers, who collectively represent three interrelated yet diverse contributions to the period’s relevancy in light of modern ecocritical research: F. W. J. Schelling (1775-1854), Alexander von Humboldt (1769-1859) og Karoline von Günderrode (1780-1806). In these three authorships, a common understanding of nature erupts in varied ways as metaphysics of nature, aesthetics of nature, and ethics of nature. We describe how each author contributes towards this novel understanding of nature, while comparing ideas, inspirations, and differences across the three.

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)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.037
GPT teacher head0.269
Teacher spread0.232 · 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
Published2024
Admission routes1
Has abstractyes

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