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SCIENCE AND TRANSCENDENCE: WESTPHAL, DERRIDA, AND RESPONSIBILITY

2012· article· en· W2125121217 on OpenAlexaff
Nathan Kowalsky

Bibliographic record

VenueZygon® · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicEvolution and Science Education
Canadian institutionsThe King's UniversityUniversity of Alberta
Fundersnot available
KeywordsTranscendence (philosophy)PostmodernismEpistemologyHeteronomyPhilosophyNatural (archaeology)RelativismAutonomyTeleologySociologyNatural scienceAnalogyLawPolitical science

Abstract

fetched live from OpenAlex

Abstract. On the naive reading, “radical social constructivism” would be the result of “deconstructing” science. Science would simply be a contingent construction in accordance with social determinants. However, postmodernism does not necessarily abandon fidelity to the objects of thought. Merold Westphal's Derridean philosophy of religion emphasizes that even theology need not eliminate the transcendence of the divine other. By drawing an analogy between natural and supernatural transcendence, I argue that science is similarly called to responsibility in the encounter with that which lies outside its horizon of expectation. Science's rational autonomy is overcome by the heteronomy of realities that precede it. Understanding species as homeostatic property clusters is an example of nonessentialist, postmodern, and scientific realism. Science is still a vehicle for encountering natural alterity, thus decentering the relativism thought to characterize postmodernism. However, natural science must not attempt to place the whole of being at human disposal if it is to fulfill the potential of Westphal's philosophy of religion.

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 score0.006
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.029
Scholarly communication0.0050.008
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.057
GPT teacher head0.291
Teacher spread0.234 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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