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Record W2929466547

Exploring the role of School Leadership in Ontario, by Neelofar Ahmed

2018· article· en· W2929466547 on OpenAlexaffabout
Neelofar Ahmed

Bibliographic record

Venue2019 Conference of the Canadian Society for the Study of Education · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEducational leadershipInclusion (mineral)Diversity (politics)Political scienceTransformative learningPovertyContext (archaeology)Equity (law)PedagogyCultural diversityPublic relationsSociologyEconomic growthGender studies
DOInot available

Abstract

fetched live from OpenAlex

The rising trend in global migration has made Canadian schools more diverse. This diversity includes students from migrant families, students coming from war-torn, terrorism or conflict-affected countries, students with disabilities, students living in poverty, as well as racialized and Indigenous students. While this diversity brings resilience and cultural richness to schools, at times school principals find it challenging to support the academic achievements and physical and mental well-being of these students. This paper provides a review on various reforms, initiatives and education policies of the United Nations and Ontario that guide school leadership to enact equity and inclusion in schools. This paper reports on a systematic review of literature that explore the role of school leadership in supporting students affected by war and terrorism in Ontario. I discuss the emerging role of school leadership in the context of increasing diversity in schools, propose changes to Bronfenbrenner’s (1999)  bioecological model of human development , and recommended that by adopting Shield’s (2010)  transformative leadership framework , school leaders can make their schools more equitable and inclusive. I also advocate for the establishment of cross-cultural educational partnerships to connect the educational policy-makers, researchers, practitioners, and school leaders through the Train-the-Trainer model to mobilize knowledge globally.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.218
GPT teacher head0.301
Teacher spread0.083 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2018
Admission routes2
Has abstractyes

Explore more

Same venue2019 Conference of the Canadian Society for the Study of EducationSame topicYouth Development and Social SupportFrench-language works237,207