Bibliographic record
Abstract
he purpose of the traditional land use study that forms much of this book was to collect, record, and protect information about historical and current traditional land use activities, as well as the cultural traditions of Carry The Kettle First Nation (cTk).In addition, one of the goals was to present a fuller, updated description of the history of the First Nation, particularly the precontact occupation of Saskatchewan followed by trade-induced migrations.The book presents the devastation caused by the loss of the bison herds, the effects of the creation of the international border, and the appalling treatment of the Nakoda People by the American and Canadian governments.Two major data collection methodologies were used.The historical and anthropological data were obtained primarily through the research of Dr. David R. Miller, who has spent a major portion of his professional career researching and accumulating information on the history and prehistory of the Assiniboine People.This publication would not have been possible without his participation.The second source of data was the interviews with Elders, who spoke about their history, their historical and current patterns of land use, as well as their cultural practices and language.We expect that the maps and data presented here will enhance the processes of consultation required for governments and industry and for the First Nation to protect its constitutional, Treaty, and Indigenous Rights.The book can also be utilized to strengthen and enhance further
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.216 | 0.126 |
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".