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Record W2948482034 · doi:10.22329/csw.v6i1.5721

Understanding the Engaged Buddhist Movement

2019· article· en· W2948482034 on OpenAlexvenueno aff
Loretta Pyles

Bibliographic record

VenueCritical Social Work · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBuddhismDelusionMaterialismId, ego and super-egoHuman conditionSociologyEnvironmental ethicsAngerPsychologyPsychoanalysisSocial psychologyAestheticsEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

The fundamental Buddhist belief that “life is suffering” is applicable not only at the level of individual human existence but also applicable at the level of family, community and the larger society. For Buddhists, suffering is a result of unnecessary human delusion and ego manifested through such qualities as unrestrained desire and anger. Society’s institutions and policies can be understood as mutable entities that reflect this delusion, particularly in the form of human greed and materialism. Thus, because humans create institutions and policies through their actions, these institutions “like us, can be changed by our actions,” so writes Buddhist environmental scholar and activist, Joanna Macy (1991, p. 191).

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)0.004
metaresearch head score (Gemma)0.003
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 score0.016
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.057
Scholarly communication0.0160.006
Open science0.0020.009
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.155
GPT teacher head0.276
Teacher spread0.121 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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