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Record W4392927798 · doi:10.32920/25417312.v1

Asking the Buddha for Help: Overcoming the Bifurcation and Coloniality of Philosophy Through an Engagement With the Madhyamaka Tradition

2024· preprint· en· W4392927798 on OpenAlexaff
Juan Sebastian Marquez Leon

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsGautama BuddhaPhilosophy of religionEpistemologyWestern philosophyPhilosophyModern philosophyChinese philosophyIndian philosophyContinental philosophyConstruct (python library)BuddhismPolitical scienceLawTheology

Abstract

fetched live from OpenAlex

This thesis seeks to address two pressing issues. The first is philosophy’s bifurcation. Contemporary philosophy, having been stripped of the spiritual exercises so central to its Ancient traditions, has been reduced to mere discourse. This thesis aims to explore the Buddha’s teachings for potential methodological insights—specifically looking at how the Madhyamaka tradition relates to the teachings of the Buddha—that may establish philosophy as a way of life, along with its spiritual exercises, as an option open to us today, as well as elaborating on what that option looks like for contemporary philosophy. The second issue relates to the centrality of reason in modern Western philosophy, which, while it a consequence of its encounter with Christianity, also played an important role in the consistent dismissing of non-western traditions as non-philosophical on the grounds that they are insufficiently committed to the standards of rational enquiry. By understanding the significant role that reason takes on in the Prasangika Madhyamaka approach, the aim will be to question the ‘divine reason’ construct so central to contemporary Western philosophy’s self-understanding and expose the ways it is particular to the European milieu.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.116
GPT teacher head0.286
Teacher spread0.170 · 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
Published2024
Admission routes1
Has abstractyes

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