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Record W2757445731 · doi:10.3968/9867

The Researches on the Ideological and Political Education Models of College Students From the Perspective of Network Discourse

2017· article· en· W2757445731 on OpenAlexvenueno aff
Bo Liu

Bibliographic record

VenueCross-cultural communication · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIdeological and Political Education
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyIntersubjectivitySociologyOpenness to experienceSubjectivityPedagogyPolitical educationPoliticsDominance (genetics)Social scienceEpistemologyPolitical scienceSocial psychologyPsychologyLaw

Abstract

fetched live from OpenAlex

The emergence, application and popularization of network discourse bring great challenges to the traditional model of ideological and political education. Network discourse bears the characteristics of material reality, content dominance and discursively by nature. These characteristics cause the changes of the college students’ ideological and political education model, from the subjectivity education model of intersubjectivity education model, from the uniform education content to diverse educational content. The model evolves from a closed and static situation to an open and dynamic education environment. Therefore, the contemporary scholars in the field of college students’ ideological and political education should constantly explore new models of the university students’ ideological and political education, appealing to the demand of the transformations in education conception, the openness of education approaches. They should apply the intersubjectivity education model and enrich the educational content. They should also attach importance to the diversity education model and construct an appealing educational atmosphere. Dynamic education is the direction so the new development and demand of the ideological and political education can adapt to requirements in the network + era.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.009
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.128
GPT teacher head0.504
Teacher spread0.376 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2017
Admission routes1
Has abstractyes

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