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Record W4297486094 · doi:10.5539/ach.v14n2p41

Research on the Influence of Modernization on Oroqen Hunting Culture

2022· article· en· W4297486094 on OpenAlexvenueno aff
Yuanyuan Gao

Bibliographic record

VenueAsian Culture and History · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Ethnic Minorities and Relations
Canadian institutionsnot available
Fundersnot available
KeywordsModernization theoryNationalityCivilizationSustainable developmentSociologyEthnic groupEnvironmental ethicsPerspective (graphical)Ethnic culturePolitical scienceAnthropologyLawComputer sciencePhilosophyImmigration

Abstract

fetched live from OpenAlex

With the development of human society, the issue about the impact of modernization on traditional culture is becoming increasingly important, which can help promote the harmonious coexistence between conventional and modern civilization. Using Oroqen nationality as a case study, this article examines the impact of modernization on Oroqen hunting culture, from the perspective of material and spiritual culture changes. In this essay, the author uses the method of literature analysis to study the literature about the Oroqen nationality, modernization thoery and sustainable development. Through the way, the paper explores the content, characteristics of Oroqen hunting culture and the defination, process, influence of modernization. Finally, the passage uses the ordinary methodology, from the angle of sustainable development capacity building theory, to recommend Oroqen future development path. It can give experience for those ethnic minorities confronting modernization.

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)0.002
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: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
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 head0.056
GPT teacher head0.333
Teacher spread0.277 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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