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The Study of Cultural Soft Power under the Construction of New Rural Areas

2012· article· en· W1738061691 on OpenAlexvenueno aff
Junjie Li, Zhu Kong-lai, Xiang Wang

Bibliographic record

VenueCross-cultural communication · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Environment
Canadian institutionsnot available
Fundersnot available
KeywordsSoft powerGrassrootsGovernment (linguistics)Power (physics)Element (criminal law)Rural areaPolitical scienceEconomic growthSociologyChinaEconomicsPolitics

Abstract

fetched live from OpenAlex

Culture is the core element of soft power, and it is also closely related to the construction of new rural areas. To achieve the overall goal of socialism with Chinese characteristics, the developing of country is not only the key point but also the difficult one. In this article, the authors firstly do a brief overview of the concept and meaning of soft power, and then show the importance and necessity of the cultural soft power to make a new sustainable development of country. But today the construction of rural cultural soft power is not optimistic, and the four key problems are as follows: the public cultural projects can not meet the demands of new rural construction, and the government show less attention to the cultural construction of rural areas .Besides, the defective management of rural culture and the insufficient quality of the peasants do exist in rural areas .Therefore, addressed the above issues, authors put forward several suggestions. At first, build and improve the new rural cultural soft power system. Furthermore, make the grassroots government work in the construction of cultural soft power. What’s more, increase the cultural resources and enhance the services of rural public culture. Finally, improve the overall quality of the peasants and cultivate new peasants. Key Words : New rural construction; Cultural soft power; Rural cultural construction. Resume: La culture est l’element central de la puissance douce, et de la culture et le developpement rural sont etroitement lies atteindre l’objectif global du socialisme aux caracteristiques chinoises, en mettant l’accent sur les zones rurales, les zones rurales est egalement difficile dans le present document, le concept. de la puissance douce et pour un bref apercu du contenu, l’analyse de la puissance culturelle douce de la nouvelle importance du developpement durable dans les zones rurales et la necessite. Mais aujourd’hui, la construction des regions rurales du soft power culturel n’est pas optimiste, il ya un manque de public rural projets culturels ne peuvent pas repondre aux exigences strictes de la construction rurale nouvelle, la construction culturelle des cadres de base en milieu rural a l’attention et le niveau de sensibilisation ne suffit pas, la gestion de la culture en milieu rural doit etre renforcee, la qualite globale en milieu rural la science retard scolaire, l’agriculteur n’est pas eleves quatre questions, afin d'aborder les questions ci-dessus pour construire et ameliorer la nouvelle rurale systeme culturel soft power, a renforcer la capacite des ruraux aux services publics culturels, de changer leur facon de penser, faire jouer pleinement la population rurale du gouvernement local qui est de nourrir douce culturelle la construction de centrales de l'ordinaire, d'augmenter les ressources culturelles de la puissance douce pour les zones rurales de la force, d'accelerer la promotion des aspects culturels de la consommation rurale, ameliorer la qualite globale des agriculteurs, la formation des nouveaux agriculteurs un total de quatre propositions visant a promouvoir vigoureusement la construction de la culture rurale et la puissance douce. Mots-cles : Nouvelle construction en milieu rural; Culturel de la puissance; la Construction culturelle en milieu rural.

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)0.001
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 score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.008
Scholarly communication0.0040.004
Open science0.0000.002
Research integrity0.0010.001
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 head0.044
GPT teacher head0.351
Teacher spread0.308 · 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
Published2012
Admission routes1
Has abstractyes

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