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Record W2255216025

On Ideas of Infant Education and Care: Based on Interviews——With 15 Grandparents and Parents

2008· article· en· W2255216025 on OpenAlexvenueno aff
Lei Wang, Peng Yi

Bibliographic record

VenueEarly childhood education · 2008
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
Fundersnot available
KeywordsGrandparentDevelopmental psychologyPsychologySociologyPedagogy
DOInot available

Abstract

fetched live from OpenAlex

随着政府和社会对0~3岁婴幼儿早期教养的逐渐关注,对该问题的研究也成为学前教育领域的热点之一.本研究采用半开放型访谈法,就婴幼儿早期教养观念这一问题对15位祖辈和父辈家长进行了访谈.研究结果表明,两代家长,特别是父辈家长有较进步的早期教养观念.他们普遍认识到早期教养的重要性;除了依靠专业机构外,他们主要凭经验对孩子进行多方面的早期教养,尤其注重品德、交往能力、性格等非智力品质的培养;他们希望通过提供适宜的学习活动、营造和谐家庭氛围、尊重孩子主体性等方式让孩子在3岁前快乐地成长.但家长要践行进步的观念则需要更专业的早教信息和更系统的早教指导的支持.

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)0.005
metaresearch head score (Gemma)0.012
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.003
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 head0.019
GPT teacher head0.314
Teacher spread0.295 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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