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Record W2627068124

Methodology on How College Counselors Practice the Good Teacher With Four Haves Standard

2017· article· en· W2627068124 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHigher education of social science · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicEducational Reforms and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsConvictionBeijingIdeal (ethics)Order (exchange)PsychologyCollege educationMathematics educationPedagogySociologyPublic relationsPolitical scienceLawChinaBusiness
DOInot available

Abstract

fetched live from OpenAlex

On the eve of the thirtieth Teachers’ Day, President Xi Jinping visited the Beijing Normal University, and gave an important speech on the forum of the teachers and students from Beijing Normal University: Be a Good Teacher Who Satisfies the Party and the People. The speech highlights the importance of education and teachers, which are of great significance to strengthen the construction of teachers’ contingent. With College counselors being an important part of teachers’ contingent, this paper analyzes the significance of college counselors practicing the Good Teacher With Four Haves Standard from this angle, and further puts forward some countermeasures on this basis, namely, a good college counselor should have clear ideal and conviction, have noble moral sentiment, have profound and relevant knowledge, and have a loving and benevolent heart, in order to provide a certain reference for the troop construction of college counselors.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.948
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.063
GPT teacher head0.372
Teacher spread0.309 · 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