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Record W2514445134 · doi:10.1051/shsconf/20163101014

Children’s participation at daily routine in Slovene preschools

2016· article· en· W2514445134 on OpenAlexaboutno aff
Marcela Batistič Zorec, Vladimira Vrankar

Bibliographic record

VenueSHS Web of Conferences · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsViewpointsQuarter (Canadian coin)PsychologyInstitutionPreschool educationDevelopmental psychologyPedagogyMedical educationMedicineSociologySocial scienceGeography

Abstract

fetched live from OpenAlex

Since most of the children in Slovenia attend full-day programs, the daily routine represents a significant part of children’s lives in preschool institution. We presents some of the findings of a research on children’s participation in daily routine and play; in this paper, we focused on meals. In a study, which included 150 preschool teachers from Slovene preschools we researched their viewpoints with a questionnaire, made by ourselves. The results show that some problematic practices still exist, as insisting that children at least try the food they refused or that they must eat everything from their plate. Less than a quarter of teachers encourage children to express their desires and proposals abut meals in preschool. The obstacles to changes in daily routines might be in the traditions and stereotypical beliefs of preschool teachers. We suggest that children should participate more in the organization of daily routine.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.211

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.309
Teacher spread0.285 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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