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Record W3133619161 · doi:10.1515/nzsth-2018-0012

Moving Further Beyond Secularism: A “Lutheran” Reading of the Cosmology of Thomas Nagel

2018· article· en· W3133619161 on OpenAlexaff
Yiftach Fehige

Bibliographic record

VenueNeue Zeitschrift für Systematische Theologie und Religionsphilosophie · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy, Science, and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTeleologyHumanityConsciousnessEpistemologyCosmologyMetaphysicsPhilosophyContext (archaeology)UniverseSecularismReading (process)PhysicsTheologyAstrophysicsHistory

Abstract

fetched live from OpenAlex

Summary Thomas Nagel has proposed a highly speculative metaphysical theory to account for the cosmological significance that he claims the human mind to have. Nagel argues that the mind cannot be fully explained by Darwinian evolutionary theory, nor should theological accounts be accepted. What he proposes instead is an explanation in terms of cosmological non-purposive teleological principles. Our universe awakens to itself in each and every individual consciousness. What comes to light in a pronounced manner when consciousness arises, are the mental aspects of the stuff that the universe is made of. These mental aspects are always concurrently present with the physical aspects of the basic elements that constitute the universe. This paper situates Nagel’s cosmology in the context of discussions of the relationship between modern science and Christian theology. It focuses on the history of modern science’s efforts to locate the origins of humanity. The aim of the paper is to present a qualified “Lutheran” reading of Nagel’s theory of the cosmological significance of the human mind. This will unearth strong reasons to think that Nagel’s cosmology is less secular than it claims to be.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.016
Scholarly communication0.0030.005
Open science0.0000.001
Research integrity0.0020.004
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 head0.027
GPT teacher head0.262
Teacher spread0.235 · 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 designNot applicable
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

Citations0
Published2018
Admission routes1
Has abstractyes

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