MIGRATIONS AND MALTHUSIAN DEMOGRAPHICS AMONGST TWO PIONEERING PALEO-INUIT TRADITIONS
Bibliographic record
Abstract
Understanding the ways in which resource variability, environmental conditions, and cultural behavior impact population movements has been a central concern both within the subfield of arctic archeology and within anthropology as an overarching discipline. To provide insights into these questions in Greenlandic contexts, Saqqaq and Independence I occupation movements have been examined through an analysis of broad trends in the radiocarbon record throughout the duration of these two cultural traditions. While the ultimate goal of this analysis is to recognize patterns in occupational progressions as indicated by the radiocarbon record, the demographic and environmental forces of change involved in the colonization of Greenland have been addressed through comparisons with Holocene paleoclimate reconstructions and the use of Summed Probability Distributions (SPDs) of radiocarbon dates in conjunction with insights provided by the archeological record. Recognizing that questions of human ecology and adaptation cannot be answered adequately without examining the role of demographic variables, the contributions of Malthusian demographic theory in directly connecting ecological factors of production and distribution to the demographic history of a settlement offer further insights into the cycles of resource/population abundance and decline that may have contributed to hunter-gatherer migration decisions. Through the statistical and spatial analysis of radiocarbon dates and an analysis of environmental pressures within Malthusian frameworks, a better understanding of the environmental and demographic factors that may have informed the migration behavior of these highly mobile hunter-gather groups may be achieved.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".