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Record W6966861130 · doi:10.48336/bcbd-6k34

Restoring the theocentrism of Descartes' meditations

2023· article· en· W6966861130 on OpenAlexaff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Philosophy and Science
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsInterpretation (philosophy)SecularizationFocus (optics)MetaphysicsEgocentrismConstructiveCartesianism

Abstract

fetched live from OpenAlex

This thesis aims to establish the theocentrism of René Descartes’ Meditations on First Philosophy. The common interpretation of contemporary scholars understands the Meditations as a primarily epistemological text, in which the focus is on the self – or ego. This has perpetuated an image of Cartesian thought as egocentric or individualistic; most significantly, this interpretation has secularized Cartesian thought. This idea of a secular egocentrism has been so widely accepted that even Pope John Paul II, a prominent voice within the Catholic Church – the Church to which Descartes belonged – has criticized Descartes as responsible for inaugurating ‘the great anthropocentric shift’ in Western thought. In this thesis, I will defend Descartes against the misguided claims made by Pope John Paul II and other commentators by returning to the text of the Meditations itself. Through this analysis, it will become evident that the secular egocentric view of the text is unsubstantiated. Furthermore, the metaphysical focus and primacy of God will be brought into focus. Thus, establishing the fundamental theocentrism of the Meditations.

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)0.005
metaresearch head score (Gemma)0.011
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 score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.027
Scholarly communication0.0060.005
Open science0.0010.004
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.090
GPT teacher head0.263
Teacher spread0.173 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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