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Record W1501015333 · doi:10.3968/6002

On Deng Xiaoping's Youth Goal Incentive Thought and Its Enlightenment on the Realization of the Chinese Dream

2014· article· en· W1501015333 on OpenAlexvenueno aff
Haoyun Dai

Bibliographic record

VenueHigher education of social science · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsChinese DreamPremiseDreamIncentiveEnlightenmentChinaPower (physics)SocialismMarxist philosophySociologyPolitical scienceCommunismPsychologyPublic relationsEpistemologyLawPoliticsEconomicsPhilosophyMarket economy

Abstract

fetched live from OpenAlex

Deng Xiaoping’s youth goal incentive thought derives from the Marxist world outlook and methodology and results from the historical background of reform and opening up, contains scientific connotations: an accurate understanding of the youth is the premise; scientific goal setting is the core; education and guidance to young people is the key and to inspire the incentive of young people is the essence. It has effectively promoted the development of the cause of socialism with Chinese characteristics and the growth of young talents. Deng Xiaoping’s youth goal incentive thought unifies the goal of the party and the goal of the youth and it has provided valuable insights to lead contemporary youth to actively devote into the Chinese dream of the great rejuvenation of China, that is to grasp the characteristics of contemporary youth to provide power for the Chinese dream, to scientifically develop goals to gather power for the Chinese dream, to strengthen the education and guidance of young people to devote to the Chinese dream and to stimulate the main role of the youth to force the Chinese dream.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.013
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.292
Teacher spread0.282 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations1
Published2014
Admission routes1
Has abstractyes

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