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Record W2389972640

The Investigation of the Ideas of Ideological and Moral Teachers in the Northwest Territories

2013· article· en· W2389972640 on OpenAlexaboutno aff
Haiyu Li

Bibliographic record

VenueTeacher Education Forum · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIdeological and Political Education
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyCurriculumPedagogyTeacher educationSociologyMathematics educationRural areaPsychologyPolitical sciencePoliticsLaw
DOInot available

Abstract

fetched live from OpenAlex

The Investigation of the ideas of ideological and moral teachers in Xin Jiang,Gan Su and Ning Xia provinces finds that:the new curriculum ideas have been generally accepted by the teachers ever since the implementation of the reform of the ideological and moral curriculum,but the degree of acceptance and internalization is not high.For example,in teacher-student relationship there still is a certain gap between highlighting the dominant position of students and the new curriculum ideas.Through a variance analysis of the teachers' ideas of various groups,this paper draws the conclusion that the degree of acceptance of the teachers in urban areas is higher than that of the teachers in rural areas;that of the teachers with an undergraduate or higher education is higher than that of the less educated teachers;that of the female teachers is higher than that of the male teachers;that of the teachers with a 10-20years teaching standing is higher than that of other school age.In order to further promote the change of the teachers' ideas in the Northwest Territories and to promote the implementation of ideological and moral curriculum,it is recommended to strengthen teacher training to improve the level of the teaching faculty of ideological and moral course;to promote the balanced development of education,and to improve the level of the awareness of teachers in rural areas;to deepen the reform of moral education curriculum evaluation.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.023
GPT teacher head0.307
Teacher spread0.284 · 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 designObservational
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
Published2013
Admission routes1
Has abstractyes

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