MétaCan
Menu
Back to cohort
Record W4210487163 · doi:10.3390/rel13020141

Zazen and Self as Environment

2022· article· en· W4210487163 on OpenAlexaff
Scott Bowering

Bibliographic record

VenueReligions · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsParallelsGestalt psychologyEpistemologyRealization (probability)Action (physics)Set (abstract data type)Function (biology)SociologyPerceptionPsychologySocial psychologyComputer sciencePhilosophyMathematics

Abstract

fetched live from OpenAlex

The teachings of Eihei Dōgen Zenji (1200–1253) emphasize a non-instrumental orientation to zazen as “practice-realization”, which might be described as a single movement of purposeful action and actualization of aims. Yet the question remains, if zazen is not in some sense a set of clearly defined steps toward specific ends, exactly how are its benefits manifested, and why would Dōgen place such an elusive approach at the centre of practice? In the following, I will discuss how Dōgen’s conception of practice does not necessarily function as a prescriptive methodology leading to specified results, but might better be described as an orientation to everyday experience that facilitates a comprehensive integration of physical and perceptual interactions within shared environments. Any sense of the utility or benefit of zazen is inseparable from reference to these relations within specific contexts of practice. Exploring close parallels between Dōgen’s conception of universal self (jiko) and gestalt theory, particularly as it is referenced in ecophilosophy and sociomaterial practices literature, suggests ontological and ethical implications of “practice-realization” from contemporary secular perspectives.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.031
Scholarly communication0.0030.004
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.252
Teacher spread0.239 · 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
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

Citations2
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueReligionsSame topicChinese history and philosophyFrench-language works237,207