Tewahia:ton tipaacimowin -- : two stories seen intertribally, the first novels of Ruby Slipperjack and Thomas King
Bibliographic record
Abstract
Ruby Slipperjack's Honour The Sun (1987) and Thomas King's \nMedicine River (1989) are the two novels I discuss. Slipperjack's \nnovel investigates the adolescence of a female protagonist known as \nthe Owl, who passes through the vicissitudes of many family changes \nand yet sustains her will to grow into adulthood. Her mother is \nalso a key character who shows the reader her view of a Northern \nOntario land and her love for her children. The second story \nexamined has a male principal character. King's work employs \nhumour, the situating of traditional people in modern times and a \nTrickster-like character, Harlen Bigbear, as the reader views \nrelationships that are common to people of any colour. Will, the \ncentral character, explores both his ancestry and his love for \nLouise as the reader follows his life in the past and present. \nOne significant aspect that is used to examine both works is \nthe Gavanashagowa--The Great Law of Peace and Power and its respect \nfor and interplay between the community and the individual. Rooted \nin the formation of the Six Nations, this law has grown to be a \npart of the constitutions of the United States, Canada and the \nUnited Nations. It is my view, therefore, that this way of life \nhas also influenced Native people in general and more specifically \nNative literature in some instances. \nSupported by my traditional Indian perspective that is \nintertribal, the reader of both works is introduced to Canadian \nNative Literature. Enduring images of the land and community life \nthat all Canadians and readers of any nation can relate to carry \nthe novels through their unique landscapes. The Medicine Wheel, an \naboriginal way of viewing the world, is examined by me as an \ninterpretive entry point to a wholistic understanding of the \nactions of the characters and their families. I discuss the \nmetaphor of the circle, with its journey through the Four \nDirections, as a effective way to look at the writing of these two \nauthors and Native literature generally. \nAs an outgrowth of the Native practice of storytelling, these \nbooks are part of the growing body of aboriginal literature. The \nexperiences of King's and Slipperjack's characters are set in \nCanadian contemporary times so that we may learn more of Native \npeople; yet the stories are timeless in their vision of a world all \nmay appreciate.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".