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Record W1564586324

Social–Psychological Bases for Inheriting Tibetan Buddhist Culture: A Case Study of a Tibetan Community

2015· article· en· W1564586324 on OpenAlexvenueno aff
Danzhi Duojie

Bibliographic record

VenueCanadian social science · 2015
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsnot available
Fundersnot available
KeywordsBuddhismInheritance (genetic algorithm)SociologySocial psychologyPsychological researchTibetan medicinePsychologyAnthropologySocial scienceEpistemologyGeographyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The research aims at revealing the specific connotations and internal mechanisms of social psychology that supports the inheritance of Tibetan Buddhist culture by applying the theoretical framework of anthropology and psychology based on the individual case of a Tibetan community. The paper first conducts an overall investigation into the inheritance of Tibetan Buddhist culture in the Tibetan community via the approaches of interviewing and observation in qualitative researches. Then it analyzes the interaction between people’s inheritance and their corresponding psychological basis based on the social psychological model made up of social cognition, social emotion, social need and social attitude. The research results show that Tibetan Buddhist culture shapes the social psychology which is unique to Tibetan people, enabling them to balance their various internal needs and to meet all kinds of external challenges. The corresponding social psychology, in return, stimulates and drives the continuous inheritance and development of Tibetan Buddhist culture.

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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0230.008
Scholarly communication0.0030.002
Open science0.0020.004
Research integrity0.0020.002
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 head0.400
GPT teacher head0.483
Teacher spread0.083 · 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
Published2015
Admission routes1
Has abstractyes

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