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Record W4403323552 · doi:10.5539/ach.v16n2p13

Basic Concepts of the Yin-Yang Story and Five-Element Doctrine and Their Implications in Business

2024· article· en· W4403323552 on OpenAlexvenueno aff
Shengfei Gan, Baojin Zhao, Helena Johanna van Niekerk, Lindani Ncube

Bibliographic record

VenueAsian Culture and History · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicEducational Reforms and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsDoctrineElement (criminal law)Yin and yangManagementSociologyProcess managementEpistemologyLaw and economicsPsychologyEngineering ethicsEngineeringBusinessEconomicsPhilosophyPolitical scienceLaw

Abstract

fetched live from OpenAlex

This paper explores the fundamental principles of the Yin-Yang story and the five-element doctrine, both of which have their roots in ancient Chinese culture—one of the oldest continuous civilizations in the world. These philosophical concepts have profoundly influenced the Chinese people throughout their history, shaping their mentality, business practices, and social pursuits. The aim of this paper is to examine how the dualistic nature of Yin and Yang, representing opposing yet interconnected forces, and the five-element doctrine, categorizing the physical world into the elements of wood, fire, earth, metal, and water, continue to impact modern business strategies and decision-making processes in China. Through a detailed analysis, this paper reveals the complex relationships of unification, opposition, interdependence, mutual consumption, and transformation inherent in these philosophies. The findings demonstrate how these ancient doctrines still play a vital role in contemporary Chinese thought, offering valuable insights for global business interactions and contributing to the enrichment of the world’s cultural heritage.

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)0.003
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.046
Scholarly communication0.0050.008
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.010
GPT teacher head0.237
Teacher spread0.227 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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