Bibliographic record
Abstract
Wab Kinew'sThe Reason You Walk is a monumental, perspective altering and life changing novel that addresses the many barriers faced between Kinew, a reconnecting Anishinaabe man, and his father, a disconnected Anishinaabe man who was forced away from his culture and to the bottle by residential schools, racism and intergenerational trauma.It is a touchingly beautiful story of how a son and father rekindle their own relationship by reconnecting to their culture, paving new pathways for reconciliation, and breaking intergenerational trauma cycles that plague so many Indigenous men and their male family members today.The Reason You Walk is structured as a shared memoir that details the lives (and legacies) of Kinew and his father, that importantly addresses the many trials, tribulations, struggles and triumphs that many Anishinaabe men increasingly have to endure as the result of intergenerational trauma, abuse, addiction, apathy, etc. Kinew's story offers not only a beacon of hope for Indigenous youth as it celebrates Anishinaabe resilience and success despite the immense amount of hardship endured, but also exists as a cathartic release and retelling of his and his father's life as this is one of the main purposes of Indigenous story telling.In Anishinaabe culture, storytelling is seen as a form of ceremony as Anishinaabe people share many stories, teachings, and happenings in their lives during ceremony in order to let go parts of our spirit that no longer serve us, this is how
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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 | 0.006 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.011 | 0.015 |
| Insufficient payload (model declined to judge) | 0.012 | 0.011 |
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".