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Record W4392364789 · doi:10.1163/22143955-12340012

Understanding the Geopolitical Implications of the Impending Religious Power Vacuum in Tibet

2024· article· en· W4392364789 on OpenAlexaff
Jonathan Ba

Bibliographic record

VenueReview of Religion and Chinese Society · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBuddhismGeopoliticsPower (physics)ChinaLegitimacyTheocracyCommunismGovernment (linguistics)PoliticsAutonomyPolitical scienceAncient historyPolitical economyHistoryLawSociologyPhilosophyArchaeology

Abstract

fetched live from OpenAlex

Abstract Despite being the smallest branch of Buddhism worldwide, Vajrayana Buddhism is the majority religion in Tibet, Mongolia, and Bhutan, where it wields significant religious and political power. This power has traditionally been concentrated among a small number of lamas, most notably the Dalai Lama, who upon their passing are replaced by a successor in accordance with traditional rituals. Since Tibet came under control of China in 1950, the Chinese Communist Party has sought to gain complete control over Tibetan Vajrayana Buddhism, coopting these leadership institutions by installing its own puppet lamas. However, the flight of the current Dalai Lama from the Tibetan capital Lhasa in 1959 led to the exodus of Tibetans to India, where a government-in- exile was established in Dharamsala. This government, which derives its legitimacy from the Dalai Lama, represents the interests of the Tibetan people, including challenging Chinese rule over Tibet. The current Dalai Lama is now an octogenarian, and his passing will create a religious power vacuum at the core of Vajrayana Buddhism. This paper explores several possible outcomes of this religious power vacuum, and whether Vajrayana Buddhism can maintain its integrity and autonomy moving forward.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.030
GPT teacher head0.366
Teacher spread0.336 · 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 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
Published2024
Admission routes1
Has abstractyes

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