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Record W613491529

Building leadership-capacity for sustained school-improvement

2011· dissertation· en· W613491529 on OpenAlexaboutno aff
Abla Mansour

Bibliographic record

VenueLeicester Research Archive (University of Leicester) · 2011
Typedissertation
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsEducational leadershipPolitical scienceBusinessPsychologyPedagogy
DOInot available

Abstract

fetched live from OpenAlex

The third wave of school reform in Quebec that started in 2000, emphasized developing student leadership. For a school to become successful, it became mandatory for the administration to build leadership-capacity and developing teacher-leadership in curriculum and professional-development and school governance. 
\nBuilding leadership-capacity and sustaining school improvement are the focus of this thesis. It describes the basic actions that schools should take to build leadership-capacity and investigates the characteristics of a capacity-building head and the ultimate effect of building leadership-capacity on student development. It also suggests that leadership-capacity is context specific and differentiated among schools. Leadership-capacity is defined as ‘broad-based skilful participation in the work of leadership’ (Lambert 1998:5) and a way of understanding sustainable school improvement (Lambert 2006:239) given each school culture and context. 
\nFollowing a review of literature, five key-research questions were formulated, addressed through three interpretive case-studies carried out in three private secondary schools in Montreal, Quebec. The research tried to investigate the process of building leadership-capacity and how it sustains school improvement. The study predominantly used a flexible multiple case-study design, using qualitative methods of data collection. In each school, semi-structured interviews, non-participant observations and document checking were conducted, providing method and data triangulation. 
\nGiven that this research involves multiple case-studies, data analysis was conducted in two stages: within-case and cross-case analysis (Yin 1994:112). Analysis revealed that building leadership-capacity usually starts by broadly and skilfully involving teachers in leadership activities. Sustainable improvement can be supported by transforming the school into a professional-learning-community where learning and improvement become a habit of mind, daily practiced by teachers and students. Knowing that the ultimate goal of school improvement is to enhance student learning and achievement, this can be achieved when schools develop students to become leaders of their own learning journey. Developing teacher-leadership in a school ultimately reflects on student leadership and learning. In addition to these internal leadership-capacity processes, each school has its unique contextual factors, consequently, capacity-building is “multifaceted” (Fullan 2006), based on developing strategies that are unique to each school given its context, internal leadership-capacity predispositions and culture that ensure sustainable improvement for each particular school. The suggested leadership-capacity model provides a visual display for building leadership-capacity based on the dynamic interaction between internal capacity, culture and external context.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science 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 score0.360
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
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 head0.236
GPT teacher head0.406
Teacher spread0.170 · 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
Published2011
Admission routes1
Has abstractyes

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