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Record W3177079957 · doi:10.23977/aetp.2021.53012

The Ways and Methods of Ideological and Political Education for Postgraduates

2021· article· en· W3177079957 on OpenAlexvenueno aff
Guangxin Liu

Bibliographic record

VenueAdvances in Educational Technology and Psychology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIdeological and Political Education
Canadian institutionsnot available
Fundersnot available
KeywordsDestiny (ISS module)IdeologySociologyPoliticsCurriculumPedagogyObject (grammar)Social scienceEpistemologyPolitical scienceLawEngineeringComputer science

Abstract

fetched live from OpenAlex

Based on the background of the Internet era, the further deepening of the Ideological and political education (IAPE) research is imminent. The community of destiny of the ideological and political curriculum is an organic body with macro structure, which is based on the fundamental principle of promoting the development of the educational theory discipline of the ideological and Political Curriculum and other members themselves, the common challenges to face, the common discourse basis, and certain value identification. This paper aims to strengthen the education of Ideological and political courses for postgraduates from the perspective of building a community of destiny of Ideological and political courses, so as to enhance the practical application of its educational theory. Starting from the concept of community, this paper analyzes in detail the concepts of community of human destiny, community of IAPE, and community of IAPE destiny; it explains the theoretical basis of constructing the community of IAPE destiny. On this basis, the IAPE of n University graduate students as the main research object, summarizes and condenses the theoretical system of students' IAPE. The full text emphasizes the effect of student assistant group on students' IAPE. Through the research of N college students' assistant group, the investigation of the actual work and the actual investigation of students, this paper summarizes the IAPE of students' assistant group in n University, and then forms a system, and puts forward relevant opinions and suggestions on the establishment of student assistant group in Colleges and Universities. Through the questionnaire survey, it is found that 89.2% of the assistant group members' dormitories have won the title of civilized dormitory, and 57.9% of the students think that the assistant group is helpful to find a job. It can be seen that the student assistant group plays a great role in the IAPE of students.

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)0.007
metaresearch head score (Gemma)0.009
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: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.012
Scholarly communication0.0060.006
Open science0.0010.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.036
GPT teacher head0.494
Teacher spread0.458 · 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
GenreOther

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

Citations18
Published2021
Admission routes1
Has abstractyes

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