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Record W1917070569

Holding the Reins of the Professional Learning Community: Eight Themes from Research on Principals' Perceptions of Professional Learning Communities.

2009· article· en· W1917070569 on OpenAlexvenueaboutno aff
Jerome Cranston

Bibliographic record

VenueCanadian Journal of Educational Administration and Policy · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
Fundersnot available
KeywordsProfessional learning communityProfessional developmentLearning communityPedagogyProfessional studiesNormativeThematic analysisSociologyPerceptionPsychologyFaculty developmentQualitative researchPolitical scienceSocial science
DOInot available

Abstract

fetched live from OpenAlex

Using a naturalistic inquiry approach and thematic analysis, this paper outlines the findings of a research study that examined 12 Manitoba principals’ conceptions of professional learning communities. The study found that these principals consider the development of professional learning communities to be a normative imperative within the educational culture of their schools, yet their understandings of what constitutes a professional learning community, as defined by Toole & Louis (2002) are varied and partially limited. However, the principals suggested that there are eight dominant themes that are central in their conceptions of “professional learning community.” The themes are: professional learning communities are about process; structural supports enable the development of professional learning communities; trust as the foundation for adult relationships; congenial relationships dominate conceptions of community; learning is an individual activity; professional teaching is derived from attitudinal attributes; teacher evaluation shapes how principals think about learning in professional communities; and, teacher evaluation impacts principal and teacher relationships in professional learning communities.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.249
GPT teacher head0.497
Teacher spread0.248 · 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

Citations77
Published2009
Admission routes2
Has abstractyes

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