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Record W4290038713 · doi:10.47191/ijcsrr/v5-i8-14

Management Functions in PAUD (Early Children Education)

2022· article· en· W4290038713 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Current Science Research and Review · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsCreativityScope (computer science)Function (biology)Process (computing)PsychologyMathematics educationComputer scienceSocial psychology

Abstract

fetched live from OpenAlex

This article aims to find out how kindergarten management is managed properly, the application of POAK (planning, organizing, actuanting, controlling) functions in PAUD. The literature review is from previous research. This article uses the search and review method, where the review process begins with a search engine, Google Scholar, to search for articles with keywords. The author finds the scope of the articles reviewed is still very limited so that it needs to be followed up related to kindergarten management research. The results of the review show that the creativity of teachers in kindergarten can be realized optimally if they apply good management. Research on this topic is very limited so that further research is needed on the management function for teacher creativity in kindergartens in general. The theoretical benefit of this article is to know the management function for in kindergarten.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.865
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.106
GPT teacher head0.512
Teacher spread0.406 · 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