MétaCan
Menu
Back to cohort
Record W4386763870 · doi:10.32920/24150459

Partnerships in Full-Day Kindergarten Classrooms: Early Childhood Educators and Kindergarten Teachers Working Together

2023· preprint· en· W4386763870 on OpenAlexaboutno aff
Kathryn Underwood, Aurelia Di Santo, Angela Valeo, Rachel Langford

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsnot available
Fundersnot available
KeywordsEarly childhoodEarly childhood educationRepertoireMathematics educationPedagogyPsychologyCo-teachingTeaching methodSpecial educationDevelopmental psychology

Abstract

fetched live from OpenAlex

<p>This study examines the relationship between teachers and early childhood educators in full-day kindergarten classrooms in one school board in Ontario. The study uses the theoretical framework of co-teaching models developed in special education to analyze the range of approaches used by the educator teams. Findings indicate that the teams primarily engage in a one teach/one assist approach, but they also describe some examples of other co-teaching approaches that are possible in these classrooms. The study concludes that support for the expansion of the co-teaching repertoire could provide a mechanism for integrating the expertise of both educators in full-day kindergarten classes and maximizing the efficacy of this social policy direction. Implications for educators and administrators are addressed.</p>

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.068
GPT teacher head0.327
Teacher spread0.260 · 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 designQualitative
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicCollaborative Teaching and InclusionFrench-language works237,207