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Framing leadership: Contributions and impediments to educational change

2002· article· en· W6959373256 on OpenAlexaboutno aff

Bibliographic record

VenueeCommons - AKU (Aga Khan University) · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFraming (construction)Context (archaeology)Focus groupEducational leadershipContent analysisExperiential learning

Abstract

fetched live from OpenAlex

In 1995, the International Centre for Educational Change and the Peel District Board of Education in Ontario, Canada initiated the Change Frames project to assist four secondary schools to build and sustain their ‘capacity’ to deal with the changing educational environment in Ontario. The Change Frames strategy required each school to analyse its unique context using each of seven frames – purpose, emotions, politics, structure, culture, learning and leadership. This article reviews the project through the ‘leadership’ lens. In particular, we study the leadership of the principals in the Change Frames schools over a three-year period that involved dramatic government-mandated changes to secondary education in Ontario. The article reports on interviews conducted with the four project school principals, a sample of staff members in 1997 and 1998, and focus group interviews conducted with staff members in each school in 1999. The analysis revealed that the project had been both helpful and problematic in all schools, that there were particular barriers to using some of the ideas, but that a great deal of learning about change had taken place through experience and reflection. Perhaps more significantly, the analysis has enabled the authors to suggest some tentative learnings about the relationships of leadership and change during turbulent times.

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: none
Teacher disagreement score0.804
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.248
GPT teacher head0.349
Teacher spread0.101 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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