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Record W7037775511

Georges Bataille, Chögyam Trungpa, and Radical Transformation: Theorizing the Political Value of Mindfulness

2017· article· en· W7037775511 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship (California Digital Library) · 2017
Typearticle
Languageen
FieldEngineering
TopicFlexible and Reconfigurable Manufacturing Systems
Canadian institutionsnot available
FundersUniversity of Victoria
KeywordsExistentialismMindfulnessValue (mathematics)PoliticsMeditationFace (sociological concept)Social justice
DOInot available

Abstract

fetched live from OpenAlex

Social movements are increasingly turning to mind-body practices like meditation to support their work. This is a new, but still marginal trend. The spread of mindfulness practices among social justice organizations willgrow if a compelling case can be made that mind-body practices are central, not peripheral, to collective liberation. The philosophers Georges Bataille and Chögyam Trungpa provide that case. Both Bataille and Trungpa, in their respective works, articulate how easy it is for humans to feel small inthe face of a contingent and finite existence, and how this felt smallness often fuels compensatory desires for aggrandizement and domination, desires with profound material effects. If there are existential drivers behind systemic dominations like colonialism, capitalist exploitation, white supremacy,and hetero-patriarchy, then existential change strategies become central to addressing the causes of injustice. The accounts provided by both Bataille and Trungpa clarify how efforts to integrate mind-body practices into social movements are central to the pursuit of social and ecological justice.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.005
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.034
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.200
Teacher spread0.191 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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