A human-centered GIS approach to modeling mobility on southern Baffin Island, Nunavut, Canada
Why this work is in the frame
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Bibliographic record
Abstract
Southern Baffin Island has been occupied for several millennia, but its enormous size, coupled with scarcity of identified inland archaeological sites that can be confidently linked to coastal occupations, makes modeling ancient seasonal mobility across the region through traditional cost-surface least-cost pathway approaches impractical. We present a method that combines weighted multi-criteria cost surface analysis with a watershed function to create a “mobility-shed” of non-winter travel pathways covering the study area. We evaluate the predictive utility of the resulting pathways for future archaeological survey by assessing their spatial relationships to known archaeological sites. The results of this comparison suggest that elevation and land cover criteria should be augmented with ethnographic and resource availability data to model mobility in this region.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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