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Record W2473034784 · doi:10.12697/sss.2016.44.1-2.09

Literature as a defining trait of the human umwelt: From and beyond Heidegger

2016· article· en· W2473034784 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSign Systems Studies · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsAnthropocentrismPoliticsPluralEpistemologyNatural (archaeology)Interpretation (philosophy)UmweltPhilosophySociologyEnvironmental ethicsHistoryLinguisticsPolitical scienceArchaeologyLaw

Abstract

fetched live from OpenAlex

Writers and readers of literature are, among other things, biological en tities that evolve under particular political (geographical/historical) conditions. A comparative study of certain texts by Martin Heidegger (1889–1976) can help us establish a fruitful interpretation of this threefold link between literary art, biology and politics. However, careful analysis reveals that Heidegger remains too rooted in an old-world, nationalistic and anthropocentric paradigm. We will attempt to rethink Heidegger’s assumptions on the grounds that literature, a cultural practice, enables us to delineate our natural environment. By reformulating Heidegger’s line of thought, we can more precisely address the plural structure of our biotic and political-literary experiences.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.287

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.251
Teacher spread0.225 · 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