Dynamic Archaeological Approaches Concerning a Progressive Arctic and Global Realm
Bibliographic record
Abstract
Diversity and excellence are synergized together in a collaborative explorative discussion panel into contemporary and forward-thinking archaeological methodologies and approaches to at risk arctic communities. Graduate students from the University of Montana have joined to share current research endeavors into the arctic climate and its results on communities and archaeological records, while producing revolutionary processes to aid archaeological understandings and processes globally. Presentations vary from statistical analysis and spatial organizations, establishing changes in wealth and cooperation of house pit 54 in Bridge River, BC; to an introduction of a universal theoretical research model to assist archaeologist globally in the study and understandings of landscapes of abandonment. Indigenous lifeways and methods for increased advocacy and awareness are drawn upon, while highlighting the strengths of the diverse future of archaeological findings from the University of Montana’s Department of Anthropology graduate scholars under Dr. Anna Prentiss. Megan Denis, MA, PhD Student - University of Montana (she/her): "Uncovering Cooperation in Housepit 54, Bridge River, British Columbia" Riza McClurkin - University of Montana Graduate Student (they/them/theirs): "Modern Impacts on Traditional Subsistence Hunting in the Canadian Arctic" Andrea Shiverdecker, MA, PhD Student - University of Montana (she/her): "A Synergy of Abandonment: Archaeological Understandings of Abandoned Norse Arctic Settlements and North American Mining Ghost Towns" Alysha Edwards - University of Montana Graduate Student (she/her): "TBD"
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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 | 0.011 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.021 | 0.057 |
| Scholarly communication | 0.020 | 0.011 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".