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Record W2278726411 · doi:10.29173/cons27051

'Absurd' Rationalist Cosmology: Copernicus, Kepler, Descartes and the Religious Basis for the end to Aristotelian Dogma

2016· article· en· W2278726411 on OpenAlexvenueno aff
Nicholas Smit-Keding

Bibliographic record

VenueConstellations · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHistorical Astronomy and Related Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCopernicusKeplerGeocentric modelNarrativePhilosophyEpistemologyCosmologyHistory of scienceLiteraturePhysicsAstronomyStarsArt

Abstract

fetched live from OpenAlex

Current popular narratives regarding the history of astronomy espouse the narrative of scientific development arising from clashes between observed phenomena and dogmatic religious scripture. Such narratives consider the development of our understandings of the cosmos as isolated episodes in ground-breaking, world-view shifting events, led by rational, objective and secular observers. As observation of astronomical development in the early 1600s shows, however, such a narrative is false. Developments by Johannes Kepler, for instance, followed earlier efforts by Nicholas Copernicus to refine Aristotelian-based dogma with observed phenomena. Kepler's efforts specifically were not meant to challenge official Church teachings, but offer a superior system to what was than available, based around theological justifications. Popular acceptance of a heliocentric model came not from Kepler's writings, but from the philosophical teachings of Rene Descartes. Through strictly mathematical and philosophical reasoning, Descartes not only rendered the Aristotelian model baseless in society, but also provided a cosmological understanding of the universe that centred our solar system within a vast expanse of other stars. The shift than, from the Aristotelian geocentric model to the heliocentric model, came not from clashes between theology and reason, but from negotiations between theology and observed phenomena.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.937
Threshold uncertainty score0.729

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 studies0.0010.001
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 head0.010
GPT teacher head0.228
Teacher spread0.218 · 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 designNot applicable
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

Citations0
Published2016
Admission routes1
Has abstractyes

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