Bibliographic record
Abstract
Bringing this anthology to fruition has been an amazing learning experience, and it has been my sincere intent to honour the significant contributions that have been made to Saskatchewan literature by our Indigenous writers and storytellers.While this anthology is the first of its kind in Saskatchewan, it was most certainly inspired by the great work of Manitowapow: Aboriginal Writings from the Land of Water, edited by Warren Cariou and Niigaanwewidam James Sinclair, and published by HighWater Press.When I attended the book launch in February 2012 in the Tower Atrium at the Forks Market in Winnipeg, I was astounded by the immensity of the work, and by all the writers and community members gathered together to celebrate the rich oral and written traditions of Manitoban Indigenous communities.It motivated me to finally begin a project that had been simmering in my mind for some time: to bring together the diverse Indigenous stories of my home province of Saskatchewan.Cariou and Sinclair's work helped me realize that this project was possible and something to celebrate.It took me some time to figure out where to begin.Of course, I knew of the great Saskatchewan Indigenous writers; I had been reading and teaching their works for years, but I was still uncertain where to start-that is, until March of 2013 when I attended the book launch at the Artesian Performance Venue in Regina for The Literary History of Saskatchewan, edited by David Carpenter and published by Coteau Books.In the first chapter, "'Our New Storytellers': Cree Literature in Saskatchewan," Kristina Fagan Bidwell locates the earliest Indigenous writings in English in the lands now designated by Saskatchewan.I also found in this chapter the guiding image for the anthology with Bidwell's meditation on the Saskatchewan River: "with its deceptively slow-moving surface and its ever-shifting sandbars[, w]ith its permanence and its
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.219 | 0.060 |
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".