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Record W6893652756 · doi:10.5281/zenodo.4030960

Branding a New Buddhist Movement: The New Kadampa Tradition's Self- Identification as "Modern Buddhism"

2020· article· en· W6893652756 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBuddhismDoctrineMeditationIdentification (biology)HappinessSoftware deploymentNatural (archaeology)Epithet

Abstract

fetched live from OpenAlex

This article examines the New Kadampa Tradition's North American missionary deployment of the epithet "Modern Buddhism" in publicity, text, and teaching. I argue that while "Modern Buddhism" branding supports the NKT's international growth by promoting its founder's teachings as universally accessible and not Tibetan, those teachings are more continuous with traditional Geluk doctrine than with David McMahan's (2008) portrayal of Buddhist modernism. Specifically, I find minimal evidence of detraditionalization, demythologization, and psychologization in the NKT founder's 2011 book Modern Buddhism and in public meditation instruction derived therefrom at a Canadian NKT center. My findings locate the NKT's deployment of the "Modern Buddhism" brand within a graduated missionizing strategy that combines promotional modernism and pedagogical traditionalism to attract North American non-Buddhists by offering culturally desired, this-worldly benefits (e.g., stress reduction) followed by less familiar, other-worldly Buddhist goals (e.g., happiness in future lives).

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 categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.955
Threshold uncertainty score0.999

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 studies0.0050.000
Scholarly communication0.0020.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0280.011

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 head0.056
GPT teacher head0.221
Teacher spread0.165 · 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; both teacher heads agree on what is shown here.

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
Published2020
Admission routes1
Has abstractyes

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