«Ukiurtatuq»: A 'novel' exploration of a white teacher's and an Inuit student's journeys to graduation
Bibliographic record
Abstract
Written through a cultural lens, my thesis is a fictionalized account in the form of a novel of a white teacher's journey and lessons learned in teaching in the fictionalized Inuit village of Ukiurtatuq, which means North. The account is based in part on my experiences of living and teaching in an Inuit community. My intended audience are white teachers planning to work in Inuit communities, as well as Native and non-Native readers and researchers. I aim to help bridge the gap between Natives and non-Natives, to dispel current negative stereotypes of Inuit peoples in Canada and to foreground positive aspects of Inuit culture. In order to explore the various social and cultural issues present in the contemporary Nunavik education system, including women's rights, my novel is written partly through the eyes of a female white teacher and partly from the perspective of a female Inuk teenager. My goal is for the reader of the novel to experience aspects of what it might mean to be a contemporary young Inuit woman growing up in her Northern community, and to juxtapose this narrative with what it might mean for a white female teacher to teach Inuit children, and in the process, address her own prejudices and shortcomings so as to become open to other cultures and other's lives. The novel attempts to explore, through the intertwining of the two women's narratives, the different realities, experiences and relationships of non-Inuit and Inuit in a Northern community, as well as how relationships can become beautiful and inspiring for both teachers and students alike. I hope that my novel can open the door, however slightly, to dialogue and improved relations.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.034 | 0.013 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".