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Record W7132965250

‘Mettaic-Ethnicity’: World Buddhism under One Umbrella in Canada - a Comparative Research Study

2023· article· en· W7132965250 on OpenAlexaboutno aff
Bhikkhu Mihita

Bibliographic record

VenueTSpace · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBuddhismEthnic groupMulticulturalismRelation (database)Comparative researchEthnic studiesSociological researchKingdom
DOInot available

Abstract

fetched live from OpenAlex

This is a paper presented at the Eighth Biennial Conference of the Canadian Ethnic Studies Association, Montreal, Canada, October 17, 1985, based in a series of oral interviews conducted by the writer in the role of researcher for the Multicultural History Society of Ontario. Re-discovered recently among his archival material, it has been edited (2023) while the data remains untouched. So while the references may be dated (and the dates may need verification), the case made I believe still stands. The main contribution of the paper is that the Buddhist groups of varied ethnocultural backgrounds in Canada serve to provide a counter example to the scholarly theories how conflict is inherent in ethnic relations. For all the geoethnocultural changes made over time to the Buddhadhamma, the communities relate to each other in a ‘mettaic’, i.e., friendly, manner, respectful of each other, liberation being in the hands of the individual. It is a similar attitude that the Buddhists have in relation to other religions. A novel theoretical contributions of the paper is that a religious community is treated as an ‘ ethnic’ community as in the sociological literature. The paper also provides the unintended benefit of historicity.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.430
GPT teacher head0.437
Teacher spread0.006 · 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.

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
Published2023
Admission routes1
Has abstractyes

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