Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Towards a Prairie Atonement addresses this question by enlisting the help of a Metis Elder and revisiting the history of one corner of the Great Plains. Set on a prairie remnant seven thousand years old, this book's lyrical blend of personal narrative, prairie history, imagery, and argument begins with the cause of protecting native grassland on community pastures. As the narrative unfolds, however, Trevor Herriot, the award-winning author of Grass, Sky, Song and River in a Dry Land, finds himself recruited into the work of reconciliation. Facing his own responsibility as a descendent of settlers, he connects today's ecological disarray to colonial decisions to remove the Metis and their community land ethic from the prairie. With Indigenous and settler people alienated from one another and from the grassland itself, hope and courage are in short supply. This book proposes an atonement that could again bring people and prairie together.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it