The Kwäday Dän Ts'inchi Discovery: Expanding Our Understanding Through Linked Scientific and Community Studies
Bibliographic record
Abstract
The Kwäday Dän Ts'inchi Discovery project is one of two confirmed projects within the IPY Activity #435 titled "Recovery Research and Stabilization of Culturally and Scientifically Significant Specimens From Melting Ice and Cryosols." This activity involves science and social science research that has been initiated as a result of the recent melting of glaciers and alpine ice patches. Melting of these scientific "deep freezes" is providing unanticipated data sources that are giving us insight into past northern societies, flora/fauna, environments, and their changes through time. The field work is occurring in different northern Canadian jurisdictions (both Yukon/B.C. and Nunavut), and is operating under the leadership of northern governments (territorial or state) and/or First Nations government representatives. Local communities are directly involved in the projects, directing and/or participating in the fieldwork. They are also intimately involved in the study and interpretation of the recovered materials, as well determining where and how information is publicly released. The materials being recovered from these frozen contexts include ancient artifacts, biological materials including plant macro and micro remains, including recovered human remains. Laboratory work to study both the biological and archaeological specimens and samples recovered during these projects is being undertaking by government researchers based in the north, where-ever possible, working in collaboration with scientists/specialists at southern institutions. The projects that comprise this Activity operate independently, as an informal collective that shares information. Each operates under its own permit, which follows from legislation concerned with the management and protection of heritage resources. Each project has its own funding and administrative framework, while undertaking methodologically and topically similar work.
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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 | 0.041 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.016 | 0.019 |
| Science and technology studies | 0.014 | 0.027 |
| Scholarly communication | 0.019 | 0.037 |
| Open science | 0.004 | 0.030 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".