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Record W2136088746

Innovation and Development in Basic Level Party Construction for Universities With “Four Building” System

2015· article· en· W2136088746 on OpenAlexvenueno aff
Zuo‐Jun Wang, Mingxuan Tian

Bibliographic record

VenueCanadian social science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIdeological and Political Education
Canadian institutionsnot available
Fundersnot available
KeywordsIncentiveBusinessService (business)Public relationsFoundation (evidence)Knowledge managementComputer scienceMarketingPolitical scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

Basic level party organizations in universities are the foundation and guarantee for educational principles and policies of the party. This paper expounds the role of basic level party organizations in colleges and universities, including the guidance of education management, coordinating and balancing the interests and providing service guarantee. Current situation and problems of basic level party construction in colleges and universities are analyzed with the actual survey data. Main problems are that team construction is not harmonious, scientific and effective management system is scarce, which reasons include the influence of social environment, the backward of strategic planning, and the faultiness of incentive mechanism. Accordingly, on the basis of systematic analysis, we put forward the “four building”, namely “to build the right strategic concept and values, to build the party members’ long-term education training mode, to build a scientific performance evaluation model and build open and clear communication platform” so as to promote the innovation and development of basic level party construction in colleges and universities. Finally, base on the perspective of strategic management, we shape “1+4” strategic framework of the basic level party construction in colleges and universities and stress the “four construction” system integration to realize the innovation and development of basic level party construction.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.095
GPT teacher head0.306
Teacher spread0.211 · 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 teacher head, 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
Published2015
Admission routes1
Has abstractyes

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