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Record W3188669783

Cultural Ecology, the Environmental Humanities, and the Ecological Archives of Literature

2021· article· en· W3188669783 on OpenAlexaboutno aff
Hubert Zapf

Bibliographic record

VenueOPUS (Augsburg University) · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsRelation (database)Agency (philosophy)AnthropoceneCultural ecologyEcologyPoetryHistorySociologyAnthropologyLiteratureEnvironmental ethicsArtSocial sciencePhilosophyComputer science
DOInot available

Abstract

fetched live from OpenAlex

The paper discusses the role of literature in relation to the general archives of culture from the perspective of cultural ecology. It places literary studies in the transdisciplinary framework of the Environmental Humanities; looks at how the ecological turn in literary studies has changed the literal and metaphorical archives of our disciplines; outlines some basic ideas of a cultural ecology of literature and the ways in which literature acts as an ecological force in culture; and traces the ecological agency of literary archives, which are reaching back into deep-time memories of culture-nature-coevolution, as sources of imaginative energy in examples from American literature, referencing texts by Whitman, Hawthorne, Melville, and Morrison. In the final part, the article addresses the productive relation between archive and experiment in creative responses to the Anthropocene in contemporary examples ranging from German poetry to the novel The Search for Heinrich Schloegel by Canadian writer Martha Baillie and to the 2017 Guillermo de Toro film The Shape of Water.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.946
Threshold uncertainty score0.762

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.151
Teacher spread0.142 · 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 teacher head, 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

Citations3
Published2021
Admission routes1
Has abstractyes

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