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Record W2965524895 · doi:10.33423/jabe.v21i4.2133

Cultural Behavior in an Ecological Context: Exploration of Inter-Ethnic Cultural and Ecological Relationship

2019· article· en· W2965524895 on OpenAlexvenueno aff
Luo Kang-long, Wei Li

Bibliographic record

VenueJournal of Applied Business and Economics · 2019
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsHarmony (color)Ethnic groupEcologyBalance of natureBalance (ability)Cultural systemEcological systems theorySociologyPsychologySocial scienceAnthropologyBiology

Abstract

fetched live from OpenAlex

The locations of ethnic groups in a country are determined by their living spatial systems, in which the unique characteristics of local culture play a key role. It is known that an ethnic culture is formed through a long term multiple evolution. This paper probes the nature of human culture and ecologic connections to explore the relationship between cultural harmony and ecological maintenance. It attempts to find ways to achieve cultural ecological balance in human society. Results suggest that when dealing with ecological crisis, cultural balance mechanism can provide beneficial help. As there is a cultural balance system inside the living spatial systems, by combining the systems with the adjustment mechanism of culture, the international ecological crisis will be effectively handled, and the human ecological environment will be maintained naturally and efficiently.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.159
GPT teacher head0.383
Teacher spread0.224 · 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 designObservational
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
Published2019
Admission routes1
Has abstractyes

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