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Record W2295453431

Is the Athletic Festival Undokai Child-Centered? -History and discussion on athletic festivals at Japanese kindergartens-

2002· article· en· W2295453431 on OpenAlexvenueno aff
Hiroshi Ashida

Bibliographic record

VenueEarly childhood education · 2002
Typearticle
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsAutonomyPsychologyPhysical educationPedagogyCompetition (biology)Value (mathematics)Atmosphere (unit)Political scienceGeographyLaw
DOInot available

Abstract

fetched live from OpenAlex

There is probably no kindergarten without an athletic festival Undokai in Japan. Froebel, the father of kindergarten, wrote about Play Festivals that are quite similar to the athletic festivals of today. However, the Japanese athletic festival did not develop from Froebel`s concept. Rather, they came out of the festival tradition in Japanese naval colleges and universities. These festivals, over time, filtered down to elementary education and then to kindergartens in Japan. Athletic festival is characterized by physical competition and group training and these characteristics philosophically are counter to the principles of kindergarten education, which focuses more on children`s autonomy and spontaneity. The two reasons given for the common practice of the athletic festival are (1) that it encourages parents to participate and, (2) that both parents and children under-stand the entertaining value of sharing the joy of watching growing children. Although instruction on group behavior or observing rules tends to be teacher-centered, teachers today pay close attention to creating an atmosphere and exchanging ideas through discussion so that children can be actively and willingly involved. The potential problem is that the teachers` instructional abilities can divert their expectations away from the viewpoint of child-centeredness. Athletic festivals have become a necessity to kindergartens in Japan yet at the same time they continue to raise a potential problem for encouraging the development of individuality and the sense of individuals contributing and belonging to a group.

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)0.003
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0150.013
Scholarly communication0.0080.005
Open science0.0010.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.031
GPT teacher head0.286
Teacher spread0.255 · 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

Citations1
Published2002
Admission routes1
Has abstractyes

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