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Record W2893964087 · doi:10.5840/envirophil201892678

An Ecosemiotic Critique of Heidegger’s Concept of Enframing

2018· article· en· W2893964087 on OpenAlexvenueno aff
Craig Frayne

Bibliographic record

VenueEnvironmental Philosophy · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyEpistemologyNatureNatural (archaeology)Interpretation (philosophy)ModernityTheme (computing)Contemporary philosophyContinental philosophyNatural philosophyFundamental ontologyOntologyHistory

Abstract

fetched live from OpenAlex

This essay presents ecosemiotics as an approach to interpreting Heidegger in environmental philosophy. Comparisons between Heidegger’s philosophy and ecosemiotics have often focused on the 1929–1930 lecture course where Heidegger discusses Jakob von Uexküll’s notion of Umwelt. These and other ecological interpretations reach an impasse with the sharp ontological boundary Heidegger places between Dasein and more-than-human lifeforms. This essay revisits the theme by focusing on a central concept from Heidegger’s later work: enframing [Gestell]. Enframing, it is argued, can be understood as a rupture between human (cultural) and natural signs, which is a consequence of technological modernity. Although this interpretation diverges from Heidegger’s philosophy, such critical readings may be necessary if Heidegger’s work is to speak to today’s technologies and ecological issues.

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)0.003
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 score0.005
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.036
Scholarly communication0.0050.011
Open science0.0010.004
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.013
GPT teacher head0.257
Teacher spread0.244 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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