Fatty Legs: Teachers Helping Students Explore FNMI Perspectives in Literature
Bibliographic record
Abstract
Abstract This study examined three teachers’ experiences with infusing First Nations, Métis, and Inuit (FNMI) literature and content into the curriculum using the memoir Fatty Legs (Jordan-Fenton & Pokiak-Fenton, 2010). Participants were recruited indirectly from an overarching research project. Informed by qualitative methodology, the data included interviews. This autobiographical account reveals how teachers negotiate curriculum planning and implementation in support of social justice initiatives. These teachers explored Olemaun’s Canadian residential school experience, which helped their students to link topics beyond the historical text to their own contemporary lived realities. Major findings include the use of a critical literacy framework in the learning environment, students’ sense of awareness, forms of oppression and marginalization, and how youth can create change in their world. These teachers demonstrated how to construct curriculum with a creative and artistic vision. This study raises concerns about the supports teachers need to infuse FNMI literature into the curriculum. Implications are raised for teachers, administrators, and teacher education.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".