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Record W4384525298 · doi:10.1177/14687984231186090

Research on early literacy in Reggio and Montessori classrooms: A scoping review

2023· review· en· W4384525298 on OpenAlexaff
Pamela Beach

Bibliographic record

VenueJournal of Early Childhood Literacy · 2023
Typereview
Languageen
FieldSocial Sciences
TopicEducation Methods and Practices
Canadian institutionsQueen's University
Fundersnot available
KeywordsLiteracyEmergent literacyMontessori methodPsychologyPedagogyThematic analysisMathematics educationEarly literacyEarly childhood educationQualitative researchSociologySocial science

Abstract

fetched live from OpenAlex

This article presents the findings of a scoping review of 26 empirical studies that examined early literacy in Reggio Emilia and Montessori classrooms. A five-stage framework for conducting scoping reviews was used and led to the review of the selected studies. In addition, a thematic content analysis was conducted resulting in four main themes associated with the studies: 1. avenues for literacy learning, 2. home-school connection, 3. early literacy advantages, and 4. enriched literacy environments. The study contexts, research methods, and other relevant study characteristics are also reviewed and discussed. The results shed light on the research that has been conducted on early literacy in Reggio and Montessori environments. In addition, patterns across the two contexts are discussed and suggestions about future research are offered.

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)0.009
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0170.016
Science and technology studies0.0010.001
Scholarly communication0.0030.003
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 head0.262
GPT teacher head0.588
Teacher spread0.326 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2023
Admission routes1
Has abstractyes

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