Exploring Female Muslim Educational Leadership in a Multicultural Canadian Context
Bibliographic record
Abstract
This study explores the stories and experiences of female Muslim leaders in K-12 Islamic schools in Greater Toronto Area (GTA), Canada. Using the Islamic Leadership theory and practice framework, visible minority leaders from K-12 Islamic Schools were empowered to share their leadership narratives reflecting on their own identities as females and Muslim leaders in a multicultural context. Based on interviews with five school leaders, this study unveils that female Muslim leaders in K-12 schools prioritize personalized leadership, compassionate treatment of individuals, adaptive leadership, a strong emphasis on faith-based identity, and a theocentric worldview in their practice of educational leadership. Ultimately, this study sheds light on female Muslim educational leaders’ diverse and profound perspectives, showcasing their roles as initiators, role models, and facilitators of positive change in their communities. Their narratives reveal the significance of faith, compassion, and inclusivity in leadership, serving as valuable insights for enhancing leadership practices in Canadian K-12 Islamic education.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.032 | 0.007 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".