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Record W4414931501 · doi:10.1007/s44217-025-00832-9

Early childhood education and social change: a literature review

2025· article· en· W4414931501 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

VenueDiscover Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsTrinity Western UniversityWestern University
Fundersnot available
KeywordsSocial justiceCurriculumEconomic JusticeFoundation (evidence)Value (mathematics)Early childhoodEarly childhood education

Abstract

fetched live from OpenAlex

Social justice has been a topic of social change that has typically been introduced in education at the pre-teen or teenager level of development. However, recent studies have uncovered there is value in introducing social justice issues at a much younger age. The purpose of this literature review is to establish a foundation for the need to introduce social justice issues at the earliest opportunity, specifically during early childhood education. This review focuses on qualitative studies from 2019–2024 that focus on the need to incorporate social justice into early childhood education, including the challenges and successes. Key focus areas include curriculum development, supplementary materials, educator roles, and the role of school leadership. The findings show young children understand social justice issues at their developmental level, and that educators need to be equipped advocates to foster this understanding. There is also a need to focus on implementing a social justice curriculum that will have a positive influence on students and their families, as well as educators, with the goal of increasing awareness of social issues and promoting a more inclusive and equitable society.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.670
Threshold uncertainty score0.836

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.010
GPT teacher head0.333
Teacher spread0.323 · 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