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Record W2607566410 · doi:10.3968/9349

The Democratic “Globalization” and “Localization” Under the Culture Diversification

2017· article· en· W2607566410 on OpenAlexvenueno aff
Rong Tan, Hongwei Sun

Bibliographic record

VenueCanadian social science · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsnot available
Fundersnot available
KeywordsDemocracyGlobalizationPoliticsPluralPolitical culturePolitical economyDiversification (marketing strategy)NationalityPolitical scienceOrder (exchange)Economic systemSociologyDevelopment economicsEconomicsLawBusiness

Abstract

fetched live from OpenAlex

Political culture is a set of political attitudes, convictions, and emotions that prevail in a special period for a nationality, which influences the actions of the various political actors and the democratic process of a country. In the global era, the different nationalities and areas still maintain their own culture, exploring the suitable developing routes and having formed different democratic developing models. The political practices of such countries indicate that a stable and effective democratic government not only depends on the reasonable political systems and governmental structures, but also on the political values of the people. The world order should be more tolerant and plural, thereby supplying broader space for non-Western countries to choose suitable ways for themselves and combine the democratic globalization and localization together.

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)0.003
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 score0.009
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.045
Scholarly communication0.0090.006
Open science0.0000.009
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.020
GPT teacher head0.315
Teacher spread0.295 · 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
Published2017
Admission routes1
Has abstractyes

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