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Record W7133086044

Representations of Muslim Cultures and Societies in Children's Literature as a Curriculum Resource for Ontario Classrooms: Promises and Prospects

2017· dissertation· W7133086044 on OpenAlexaffabout
Antum Amin Panjwani

Bibliographic record

VenueTSpace · 2017
Typedissertation
Language
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCurriculumContext (archaeology)SituatedResource (disambiguation)Qualitative researchCurriculum developmentNational curriculumAustralian Curriculum
DOInot available

Abstract

fetched live from OpenAlex

Situated in the context of multiple challenges and possibilities faced by Muslim students and communities in the Western socio-political and educational contexts, this qualitative research examines curriculum perceptions pertaining to Muslim children’s literature and attempts to answer the major research question: “How can Ontario curriculum be enriched with curriculum resources comprising of Muslim children's literature?” This question touches several chords within curriculum studies, teacher development and schooling in general, therefore, an integrated framework combining insights and concepts from critical pedagogy, anti-racism, post-coloniality, multiculturalism, as well as, anti-orientalism are applied to guide the research’s data collection and analysis. Additionally, my own situatedness within the study as a minority Muslim woman teacher with experiences from East and West plays a critical role in engaging and deconstructing the complex webs of Muslim representations in curricular resources. The near absence of Muslim children’s literature in Ontario curriculum and paucity of the Muslim content for elementary students are investigated through a three-pronged approach: (1) Examination of the Trillium List; (2) Engaging with the voices of contemporary writers of Muslim children’s literature; and (3) Critically dissecting the contents of select literary pieces, which have potential of being used as curricular resources. The understanding created through engagement with the above exploration generate opportunities for relevant conversations and awareness for both Muslim and non-Muslim stakeholders. This research is thus a unique study of Muslim children’s literature through application of systematic frameworks to bring social justice and offers a promise of development of cosmopolitan ethics in young Canadians. It assures equipping Ontario teachers with significant knowledge to validate experiences of elementary children through stories. The use of Muslim children's literature as curricular resources has the capacity to promote bridging of cultures, create responsiveness around Muslim students' background, alleviate misconceptions in the students and promote confidence in parents of Muslim children, especially those in the public schools. The findings show limited authors writing Muslim stories, little literacy and reading culture amongst immigrant Muslims, lack of publishers and not enough recognition of Muslim literature and authors in Canada. This study helps teachers and policy makers to develop a deeper appreciation of multicultural ethos of the Canadian education system and recommends stakeholder involvement for a more inclusive holistic, authentic and credible State curriculum with pluralist Muslim representations.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.515
Threshold uncertainty score0.965

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0150.012
Scholarly communication0.0070.002
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.408
Teacher spread0.386 · 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 source (direct Gemma or distilled Codex), 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
Published2017
Admission routes2
Has abstractyes

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