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Record W2465666878 · doi:10.2298/zipi1601147j

The inclusion of disadvantaged children in preschool programs: The children’s rights and social responsibility

2016· article· en· W2465666878 on OpenAlexaboutno aff
Jerneja Jager

Bibliographic record

VenueZbornik Instituta za pedagoska istrazivanja · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsDisadvantagedQuarter (Canadian coin)Preschool educationInclusion (mineral)PsychologyEarly childhood educationDevelopmental psychologyPopulationPedagogyPolitical scienceMedicineEnvironmental healthSocial psychologyGeography

Abstract

fetched live from OpenAlex

Participation of at least 95% of children between the ages of 4 and the mandatory school age in high-quality preschool programs represents an important contribution to the achievement of the Europe 2020 strategy. Slovenia is not far from achieving this objective; however, if we consider participation in preschool programs from the perspective of the entire population of preschool children and the realisation of children?s rights, we note that nearly a quarter of children - among them (at least in the wider European area) the most disadvantaged - have not realised the right to education. We studied the awareness of the importance of ensuring access to preschool programs for all children on a representative sample of 106 Slovenian preschool principals by means of quantitative pedagogical research. The results show a high percentage of disadvantaged children in the preschool areas and in the preschools themselves; on the other hand, only a low percentage (only one-third) of preschools collect data about disadvantaged children and implement preschool programs for them; only one-fifth of preschools implement preschool programs for disadvantaged children. In order to act responsibly and enable all children the right to education, we must start devoting greater attention to identifying and including disadvantaged children in preschool programs.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.232
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.311
Teacher spread0.296 · 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 teacher head, not a consensus.

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

Citations3
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueZbornik Instituta za pedagoska istrazivanjaSame topicEarly Childhood Education and DevelopmentFrench-language works237,207