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Record W7083005706 · doi:10.5281/zenodo.17185143

Burning Refuge: Spiritual and Political Liberation in the Navayana Buddhist Movement

2025· article· en· W7083005706 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBuddhismCasteGrassrootsPoliticsEnlightenmentLiberation movementFeminism

Abstract

fetched live from OpenAlex

This paper discusses how the Theravada Buddhist scriptures in the Pali Canon support B. R. Ambedkar’s Navayana Buddhist movement in their struggle to eradicate caste and gender-based discrimination in the social, political, and legal spheres. Among these teachings are passages that record the stories of low caste and female disciples who free themselves from all fetters, spiritual and political. This paper focuses on the verses of Awakening by early Buddhist nun Puņņikā Therī in the Therī Apadāna and Therīgāthā, recognized for having realized full enlightenment on par with males. An ancestor of Navayana Buddhists, she was born low caste and female and is an inspiration for this movement’s advocacy for the equality of all people in the contemporary context. From the onset, women have actively advocated in this regard for themselves and their communities. Their socially engaged grassroots Buddhist approach emphasizes the inseparable link between spiritual and political liberation on individual and communal levels. The Buddha’s simile in AN 10.51 aptly expresses the impetus for this movement: a wholesome desire for liberation from suffering as a burning fire consuming all obstacles and a refuge, both temporal and ultimate.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.858
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.010
GPT teacher head0.214
Teacher spread0.204 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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