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Record W2555281211

Exploring an Historical Transition in Early Childhood Education in Ontario

2013· dissertation· en· W2555281211 on OpenAlexfundaboutno aff
Elaine Rochelle Winick

Bibliographic record

VenueTSpace (University of Toronto) · 2013
Typedissertation
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
FundersOffice of International Science and EngineeringUniversity of TorontoYork UniversityUnited Nations Educational, Scientific and Cultural Organization
KeywordsInterviewThematic analysisEarly childhood educationEarly childhoodPerspective (graphical)Grounded theoryPeriod (music)Qualitative researchService (business)Transition (genetics)PedagogyPsychologyMedical educationPolitical scienceSociologyDevelopmental psychologySocial scienceMedicineComputer science
DOInot available

Abstract

fetched live from OpenAlex

This predominantly qualitative study looks at the current changes in early childhood education in Ontario, Canada from an early childhood education leadership perspective. The analysis and recommendations resulting from my dissertation adds to the growing body of work examining the rapidly changing landscape of the early years. My dissertation utilizes a constructivist lens to reconstruct perspectives surrounding matters of importance in a field that is on the cusp of obtaining true professional recognition.
\nWith the advent of a self-regulating body (College of Early Childhood Educators) and a shift in management from the Ministry of Children and Youth Services to the Ministry of Education, the study highlights some of the changes occurring in the early years sector, both institutionally and professionally. The ensuing data was collected through 35 interviews of early years champions and 167 surveys from various early years teacher-educators and practitioners, revealing strong topics of discussion that add to the cacophony of voices heralding demands that the early childhood educator be perceived and treated as an equal participant in the education system.
\nOf the 8 themes that emerged from the data analyzed, 3 were the focus of this study. The first theme focused on leadership, including characteristics of leaders and themes of emerging leadership; the second on professionalization of the early years sector (Feeney, 2012): for example, consistency in terminology, pay equity, universality, and issues regarding the current infrastructure; and the third theme investigated was intellectualization as part of the professional process: for instance, current curriculum focus, higher-learning demands, ongoing learning, the value of lab schools, faculty responsibilities, and specialization as a means of differentiated staffing (Zigler, Gilliam, & Barnett, 2011). This study also includes miniature profiles of the early years leaders interviewed, and a synopsis of their personal journeys to leadership.
\nIn the concluding chapter, the recommendations presented suggest various ways that current and emerging early years leaders can make positive impact within this transforming sector. Empowerment of self, recognition of professional status, and a view to the long-term visioning of education provides the impetus for change.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.731
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.034
GPT teacher head0.260
Teacher spread0.226 · 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

Citations1
Published2013
Admission routes2
Has abstractyes

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