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Desc(ART) or the 21st Century Cartesian Meditator

2023· article· en· W4383873721 on OpenAlexfundno aff
Andreea Mihali

Bibliographic record

VenueComparative Philosophy An International Journal of Constructive Engagement of Distinct Approaches toward World Philosophy · 2023
Typearticle
Languageen
FieldNeuroscience
TopicEmbodied and Extended Cognition
Canadian institutionsnot available
FundersWilfrid Laurier University
KeywordsArgumentation theoryEpistemologyMeditationMetaphysicsRelevance (law)Volition (linguistics)Process (computing)SociologyPsychologyComputer scienceAestheticsPhilosophyLinguisticsLawPolitical science

Abstract

fetched live from OpenAlex

In this paper I argue that the continued relevance of Descartes' philosophy for present-day concerns can be demonstrated by bringing to bear on his Meditations state-of-the-art developments in Informal logic and Argumentation theory, specifically Leo Groarke’s approach to multimodal arguments. I show that the meditative exercises that Descartes viewed as preconditions of establishing the metaphysical tenets of his system can be recast in present-day form using technological tools and media that we are familiar with. We will see that, due to the different historical and cultural contexts, the 21st century Cartesian meditating process can be: 1) technology-enhanced (a customizable, multimodal process using images and nonverbal sounds alongside verbal claims) and 2) interdisciplinary (sensitive to and informed by the history of philosophy, of ideas and of art). Reformulated and practised in this way, Descartes’ meditative exercises can serve as tools for honing much-needed critical thinking skills and dispositions, as well as for promoting autonomous decision-making. After providing examples of this contemporary Cartesian meditation, I suggest that Groarke’s multimodal approach can be extended to reconstructing the arguments of other philosophers thus supplying a way of doing history of philosophy that is both novel and has personal benefits for its practitioners.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.908
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
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 head0.288
GPT teacher head0.354
Teacher spread0.066 · 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.

Study designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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