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Record W2351847151

Analysis and Inspiration of the Moral Education of Health and Physical Education Curriculum Standards of Canada's Ontario

2015· article· en· W2351847151 on OpenAlexaboutno aff
Shen Liqu

Bibliographic record

VenueChengdu Tiyu Xueyuan xuebao · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIdeological and Political Education
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumPhysical educationPedagogyMoral developmentEnlightenmentLearning standardsSociologyPsychologySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

By analyzing the content of health and physical education curriculum standards and its the implementation in Canada's Ontario,the paper finds that Ontario's moral education infiltrates deeply in the health and physical education's curriculum. Its characteristics include: first,from the point of curriculum standard of moral education content,moral education in health and physical education curriculum content of Ontario is developmental,i. e. different grades have different the moral education contents. Second,the moral education contents are closely related with students' life and tightly integrated into students' learning and life; Third,it enables students to learn moral quality by doing; Fourth,the development of moral education is confined to the classrooms,but it extends from schools to families,communities and even the whole society; Fifth,it strives to cultivate the students' ability of creative thinking and judgment. The infiltration of moral education of healthy and physical education curriculum standard of Ontario has the important enlightenment to China's moral education in physical education and health curriculum standards.

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 score0.134
Threshold uncertainty score0.987

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 studies0.0000.000
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 head0.025
GPT teacher head0.329
Teacher spread0.304 · 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
Published2015
Admission routes1
Has abstractyes

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