Bibliographic record
Abstract
I am a Senior Instructional Designer of the MAC (Muslims Association of Canada) Schools. I work in Mississauga, the treaty land of Ojibwa, Haudenosaunee and Anishinaabe. The overall objective of my research is to support and improve a more equitable education system. My work focuses on examining the barriers and supports that affect marginalized students. My current focus is on the experience of Muslim students in public schools and private Islamic schools in Ontario, Culturally Responsive Teaching, anti-Islamophobia education, and particularly, educating against Islamophobia for teachers. I also have research interests in anti-racist education, multicultural education, and critical pedagogy. I have mainly been spending my time writing about how teachers can use culturally responsive teaching for Muslim students in k-12 schools and also developing strong character education programs in K-12 MAC Islamic schools. I am a mother of four children and I think motherhood is one of the hardest jobs I have ever undertaken. My kids are my biggest life mentors. They help me be resilient and to live my priorities.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".