Examining the influence of Aboriginal literature on Aboriginal students' resilience at the University of Saskatchewan
Bibliographic record
Abstract
There are many Aboriginal (First Nation, Métis and Inuit) students attending Canadian universities who remain resilient despite the multiple challenges that arise during their first year of studies. This thesis focused on six undergraduate Aboriginal students attending the University of Saskatchewan who learned about resilience as it was demonstrated in Aboriginal novels, plays, poetry and short stories, taught in their university courses. Aboriginal literature with a fictional or non-fictional autobiographical voice demonstrated characters and people who prevailed over hardships without giving up. A combination of Indigenous methodology and grounded theory methods were used in this qualitative study, to analyze how Aboriginal students were learning from Aboriginal literature about their own resilience. Resilience in this study is defined by the Nehiyaw (Cree) concept of Miyo-Pimatisiwin (The Good Life), which refers to relying on traditional Aboriginal concepts, values and perspectives in striving for a good life and being attentive to wholistic growth and balance of the four areas of self: physical, emotional, mental, and spiritual (Hart, 2002, p. 13). This study found that Aboriginal students’ resilience is influenced by Aboriginal literature taught in undergraduate courses in three valuable ways: coping with personal and academic challenges, engagement in university learning with a sub-theme of approaches of professors validating Aboriginal literature and experiences, and personal growth and transformation. The University of Saskatchewan has recently announced initiatives aimed at increasing Aboriginal student retention and success, and this study lends support to the development of measures to increase the University of Saskatchewan’s aspirations in this regard.
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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 | 0.014 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.018 | 0.009 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".