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Record W4396974013 · doi:10.37256/ser.5220244288

Attachment in the Context of Early Years Pedagogical Practice: Early Childhood Educator and Director Insights

2024· article· en· W4396974013 on OpenAlexaffabout
Tina Bonnett, Donna France

Bibliographic record

VenueSocial Education Research · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsFanshawe College
Fundersnot available
KeywordsEarly childhoodContext (archaeology)Early childhood educationPsychologyPedagogySociologyDevelopmental psychologyHistoryArchaeology

Abstract

fetched live from OpenAlex

Given that early childhood education and care is relationship laden, research into attachment can contribute towards our understanding of early childhood education relationships. There is, however, a lack of research in this field and available research is largely absent of the voices of early childhood professionals and directors who work in early years environments. On these grounds a qualitative instrumental case study, nested in a social constructivist paradigm, was designed in Ontario, Canada, to gain insight into how attachment is (dis)embodied in their practice. The ten interviews that informed findings suggest that although attachment merges with practice, reluctance exists to intentionally embrace attachment theorizing and terminology. Instead, attachment is cloaked in care and love discourse, with "two-sided" inclinations. Participants of this study compel pre and in-service organizations to fortify their training to ensure that pedagogical approaches espouse the cornerstones of attachment theory and terminology, most notably to counter attachment (mis)understandings. Findings furthermore point to the intersectionality between the personal attachment history of professionals who work with young children, and their capacity to nurture security in their pedagogical practice.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.110
GPT teacher head0.505
Teacher spread0.395 · 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 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
Published2024
Admission routes2
Has abstractyes

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