PRELUDE TO RACIAL RECONCILIATION (A. Stobo Sniderman, D. Sanderson (Amo Binashi), «Valley of the Birdtail: An Indian Reserve, a White Town, and the Road to Reconciliation» (HarperCollins Publishers Ltd, 2022))
Bibliographic record
Abstract
Readers are presented with a review of the work by A. Stobo Sniderman and D. Sanderson (Amo Binashi) titled “Valley of the Birdtail: An Indian Reserve, a White Town, and the Road to Reconciliation” (2022). The review provides a brief overview of the main historical facts presented in the work. Significant attention has been paid to the history of educational institutions for Indigenous peoples: from residential schools to separate schools on reservations. The collective history of the Anishinaabe people is conveyed through the life of the Twovoice family. The review argues that intergenerational trauma, humiliation, the destruction of Indigenous culture, and the underfunding of schools for Indigenous peoples have caused their material and spiritual crisis.On the other hand, the review gathers and presents material about the first Ukrainian settlements in Manitoba (near the Lake Dauphin area). It documents facts about the discrimination faced by immigrants from Bukovyna and Galychyna: the prejudiced attitude of the Anglo-Saxons as the dominant group, as well as the internment camps during the First World War. The conclusion is drawn that the individual and collective tragedies of each people caused them to become closed off and focused on their misfortunes. Despite the geographical proximity of their settlements, they remained strangers to each other for a long time. Only individual contacts and the initial steps taken by the school principal, who is of Ukrainian descent, towards understanding and immersing in the life experiences of the Other, have made declarations of understanding and reconciliation effective and actionable.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".