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Record W759493387

Escolarización temprana, trimestre de nacimiento y rendimiento educativo en primaria Early schooling, quarter of birth and academic achievement in Primary Education

2015· article· es· W759493387 on OpenAlexaboutno aff
Sara M. González-Betancor, Alexis J. López-Puig

Bibliographic record

VenueRevista de educación/Revista de educación · 2015
Typearticle
Languagees
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PsychologyMaturity (psychological)Primary educationDemographyDevelopmental psychologyMathematics educationSociologyHistory
DOInot available

Abstract

fetched live from OpenAlex

Recent works from different disciplines deal with the long-term effects of childhood conditions. International studies that show the positive influence of pre-primary schooling are systematically based on students over 3 years old. The analysis of the influence on later academic outcomes for children under 3 years is almost non-existent. Besides, the maturity differences when entering the education system, because of the one-year difference within each age cohort, also appear to have long-term effects on educational outcomes. The present work provides evidence for Spain on the influence of early childhood education ?the one given before age 3? and the quarter of birth on the competences of students in fourth grade. To do this we use the General Diagnostic Assessment (GDA) held in Spain in 2009. The sample was obtained hierarchically and therefore multilevel regression techniques are applied to detect how these two factors influence the four competences assessed in the GDA, controlling other factors that could influence the outcomes according to the literature. The estimations indicate that early schooling has a statistically significant and positive effect only on linguistic and mathematic competences. This effect is even greater for students born in the fourth quarter of the year, who have worse outcomes in all competences compared to the rest of their peers. The results point to the need of extending free pre-primary education in Spain, preferably for the younger students, and to establish specific plans to support students who have had little schooling in noncompulsory stages or were born in the last quarter of the year.

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)0.008
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.016
GPT teacher head0.314
Teacher spread0.299 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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