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Record W7106572488 · doi:10.1080/13603116.2025.2584605

Attitudes of early childcare staff toward inclusive education in Québec

2025· article· en· W7106572488 on OpenAlexafffundabout

Bibliographic record

VenueInternational Journal of Inclusive Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsUniversité du Québec à Montréal
FundersFonds de Recherche du Québec - Santé
KeywordsInclusion (mineral)Special educationEarly childhood educationMainstreamingQualitative researchHigher education

Abstract

fetched live from OpenAlex

In the field of early childhood education, the inclusion of children with special needs refers to access to classrooms and age-appropriate activities for all children, even considering developmental challenges and support needs for children diagnosed with developmental disabilities. The attitudes of education staff have been documented as one of the most influential factors in the success of inclusive education in schools. However, few studies have been conducted on the staffs’ attitudes in daycare settings. The first objective of the present study aimed to document the attitudes of 211 early childhood educators and administrators of Quebec’s early childhood educational settings toward inclusive education, using the Multidimensional Attitudes Toward Preschool Inclusive Education Scale (MATPIES), which measures several dimensions of attitudes. The second objective was to identify associated factors of staffs’ attitudes that influence those attitudes. Overall, participants expressed positive attitudes towards inclusive education. Educators reported significantly higher scores on positive beliefs, negative beliefs, and behavioural subscales compared to administrators. Results indicate that positive beliefs and behavioural subscales are not significantly different from one another but are both significantly higher than the affective and negative beliefs subscales. Moreover, several factors related to the participants were significantly associated with attitudes towards inclusive education.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.009
GPT teacher head0.405
Teacher spread0.396 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes3
Has abstractyes

Explore more

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