Bibliographic record
Abstract
A motley group’s long trek across the prairies, witnessing the land, reflecting on the past, and creating new paths for the future Equal parts memoir, travelogue, and manifesto, The Good Walk recounts the adventures of settler and Indigenous ramblers who together retrace the earliest historical trails and pathways of the prairies. Readers will share the experience of trekking thousands of kilometres on swollen feet along the Traders' Road, the Battleford Trail, and the Frenchman Trail - prairie paths that haven't been trod for over a century. The story is steeped in Treaty 4 and Treaty 6 history and is edged with Canadian, nêhiyaw, and Métis stories, politics, and poetry. It braids Indigenous and settler perspectives together along routes increasingly emptied of the family farms and small towns that once defined a province and doesn't shy away from the 1870s and 1880s clearing of the plains nor the 2016 killing of Colton Boushie. Travel with the group of dreamers who instigated these annual prairie pilgrimages through prairie storms, small-town welcomes, and humorous chance encounters, all while bearing witness to the evolving politics of land ownership and the racialization of access.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.289 | 0.124 |
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".