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Problems and Solutions Upon University Counselor’s Work on Ideological and Political Education

2013· article· en· W1761678566 on OpenAlexvenueno aff
Dan Qi

Bibliographic record

VenueCross-cultural communication · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicEducational Reforms and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyProsperityPolitical educationWork (physics)Variety (cybernetics)PoliticsQuality (philosophy)SociologyPedagogyPublic relationsPolitical scienceLawEngineering

Abstract

fetched live from OpenAlex

Universities are the main frontier of ideological and political education for university students. The quality of Ideological and political education for university students is not only related to the healthy growth of a student, but also the prosperity of his family, his country and the future development of its cause. University counselors, who regularly have the most frequent contact with students, have an immense influence on students in terms of Ideological and political education. During students’ daily life and study, university counselors provide guidance on Ideological and political education. They bear an important responsibility of reinforcing Ideological and political education of university students. Therefore, university counselors need to conform to the requirements of the times, adapt to the requirement of their profession, continuously upgrade their professionalism, employ a variety of means of education, create a favorable atmosphere for education, and make outstanding contributions to the reform of education and the making of a stable and harmonious society.

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)0.020
metaresearch head score (Gemma)0.032
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: none
Teacher disagreement score0.027
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.032
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0260.012
Scholarly communication0.0160.010
Open science0.0040.011
Research integrity0.0150.014
Insufficient payload (model declined to judge)0.0270.004

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 head0.029
GPT teacher head0.288
Teacher spread0.259 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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