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Record W2141155392 · doi:10.5296/ijld.v2i4.1923

Developing a school based model for optimising the professional development of Canadian primary school teachers

2012· article· en· W2141155392 on OpenAlex
Jonathan Pitt, Hettie Van der Merwe

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Learning and Development · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsNipissing University
Fundersnot available
KeywordsPrincipal (computer security)Professional developmentSample (material)Mathematics educationSchool teachersPedagogyQualitative propertyPsychologyQualitative researchMedical educationSociologyMedicineSocial science

Abstract

fetched live from OpenAlex

The purpose of this study was to develop a school based model for optimizing the professional development of Canadian primary school teachers. This study focused on the role of the school principal in teacher development and improving learner achievement data. This study utilised a literature review covering a comprehensive review of existing models of teacher development, the school as a professional learning community and the role of the school principal. The empirical investigation was based on a mixed methods approach using a quantitative questionnaire with a sample of 145 out of a possible 200 (representing a 73% return rate) and twenty (10 school principals & 10 teachers) qualitative semi-structured in-depth individual interviews to gather data from both a teacher group and a school management group from a teacher education faculty at a local university and a selected English Public school district in Canada in the province of Ontario.

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.

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 score0.663
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.160
GPT teacher head0.407
Teacher spread0.247 · 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