Bibliographic record
Abstract
Essay A New Multicultural Canadian as Guest Host on a Canadian Landscape: From ‘Longing to Belong’ to ‘Belonging’ in a Home Away from Home Momina Khan, M.Ed. Department of Curriculum Studies University of Saskatchewan s a warm summer dawned in Saskatoon, turning my lawn a deepening green and bringing my flower beds to full bloom, the promise of blessings lingered heavily in the atmosphere around me, in the blue purity of the air, and in the depths of my waiting mind. Time and I were preparing once again for the holy month of Ramadan, a time of fasting, of practicing self-control, of developing the spirit of sacrifice and of expressing gratitude. In the garden of day, where summer, serenity and stillness bloomed fragrantly, the want for more learning, understanding, and belongingness stood within me, as if I were at a closed door, knocking to be allowed entry. Summer course selection time for my master’s program came near. From the beginning of my master’s program in education, in the Department of Curriculum Studies at the University of Saskatchewan, I sat among education professionals and reflected on my role as a parent among teachers, administrators, and principals. I wanted to select a course that would avail an environment in which I could feel comfortable and confident listening, learning, sharing, reflecting and speaking. To my surprise, opportunity descended in the form of a particular summer course which I had anticipated since I started my university journey. I quickly proceeded in registering for Engaging Parents in Teaching and Learning, a summer course offered by Dr. Debbie Pushor. The words engaging parents became a source of motivation for A
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.061 | 0.012 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".