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Record W3114526359 · doi:10.1093/socrel/sraa050

Seeding Buddhism with Multiculturalism: The Transmission of Sri Lankan Buddhism in Toronto, by D. MITRA BARUA

2020· article· en· W3114526359 on OpenAlexaboutno aff
Esther Chan

Bibliographic record

VenueSociology of Religion · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBuddhismMulticulturalismQueen (butterfly)SociologyReligious studiesMedia studiesTheologyPhilosophyBiology

Abstract

fetched live from OpenAlex

The primary goal of this book is to examine the intergenerational transmission of Buddhism among Sri Lankan immigrants in Toronto, Canada, and show how practitioners of Buddhism adapt their religious tradition to their new cultural context. D. Mitra Barua is himself a Theravada Buddhist monk who, in conducting this research, acts as a monastic ethnographer of his communities. Although using ethnographic methods to study two Buddhist temples, Barua also utilizes mixed methodology, drawing on historical-comparative methods, content analysis, surveys, and interviews. The outcome is a rich monograph that provides texture and depth in understanding Sri Lankan Buddhism in colonial Ceylon, post-colonial Sri Lanka,...

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.327
Threshold uncertainty score0.658

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0070.012
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.016
GPT teacher head0.226
Teacher spread0.210 · 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 designQualitative
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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