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Exploration on Family Education Factors of Mentally Retarded Children

2010· article· en· W1853670021 on OpenAlexvenueno aff
Zhu Jing-jun

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
Fundersnot available
KeywordsMentally retardedHumanitiesPsychologyDevelopmental psychologyArt

Abstract

fetched live from OpenAlex

Mental retardation is not only a defect of life, but a manifestation of multi-life of human beings as well. Educational problems of mental retarded children reflect the situation of protecting for our children’s rights. Mentally retarded children’s education, firstly, is family education. If parents of mentally retarded children use rational and scientific methods to build favorable family education atmosphere, it will be of great benefit for the grow-up of mentally retarded children. Key words: Mentally Retarded Rehabilitation, Family Education, Scientific Methods Resume: L’handicape mental est un defaut de la vie, mais aussi un temoignage de la diversite de la vie. L’education des enfants mentalement deficients reflete l’etat de la protection des droits des enfants dans notre pays. L’education familiale est la premiere education qu’ils recoivent. Une bonne atmosphere d’education familiale creee par leurs parent avec des methodes rationnelles et scientifiques est favorable pour leur developpement. Mots-cles: retablissement, education familiale, methodes scientifiques 摘要:智障是生命的缺陷,也是人類生命多元化的表現。智障兒童的教育問題體現我國兒童權益保護的狀況。智障兒童教育首先是家庭教育,智障兒童家長用理性和科學方法營造良好的家庭教育氛圍,有利於智障兒童成長。 關鍵詞:智障康復;家庭教育;科學方法

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.067
GPT teacher head0.427
Teacher spread0.360 · 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 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
Published2010
Admission routes1
Has abstractyes

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