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Record W2589542420

Babysitter or professional? Perceptions of professionalism narrated by Ontario early childhood educators

2016· article· en· W2589542420 on OpenAlexaffabout
Debra Harwood, Stephanie Tukonic

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsRegional Municipality of NiagaraBrock University
Fundersnot available
KeywordsPerceptionProfessional developmentMathematics educationFaculty developmentEarly childhood educationPedagogyQualitative researchEarly childhoodPsychologySemi-structured interviewSociologyDevelopmental psychologySocial science
DOInot available

Abstract

fetched live from OpenAlex

Self-constructed perceptions of early childhood educator professionalism were explored in a small-scale mixed-method survey using convenience sampling. Fifty-four educators in Ontario, Canada participated in the study and shared their views related to professionalism. A mixed-methodology was employed using an electronic questionnaire composed of closed- and open-ended questions on ideas related to professionalism. The results of the study demonstrated that all the educators held a strong self-perception of professionalism regardless of their level of education, reporting high levels of job satisfaction, competence, recognition as a professional from others, and self-recognition as a professional. Participants’ notions of professionalism focused on the qualities of an individual considered a professional (e.g., good listener, patient, and understanding) whereas discussions of criticality, authority, or the historical, gendered, cultural, racial, and social practices of early childhood education were noticeably absent.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1090.000

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 head0.167
GPT teacher head0.545
Teacher spread0.377 · 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 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

Citations41
Published2016
Admission routes2
Has abstractyes

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