Peopling Prehistoric Coastlines: Identifying Mid-Holocene Forager Settlement Strategies in Northern Norway
Bibliographic record
Abstract
Abstract In circumpolar regions, coastlines offer rich constellations of diverse resources and have long been a focus of human habitation. Despite the rich archaeological records that are located along many northern coastlines, there is a relatively limited understanding of the range of factors that informed local settlement strategies. Northern Norway has one of the world’s longest and best-preserved archaeological records of coastal habitation due to post-glacial uplift. Occupation begins in the early Holocene and appears to peak in the mid-Holocene. Our aim in this paper is to investigate the constraints and opportunities that informed the mid-Holocene settlement patterns, between c. 5000 and 0 BC. We present new data that were generated by intensive field surveys and undertake a qualitative multi-scalar analysis of site-locational choices, evaluating the influences of geography, topography and seasonal resource availability. Having identified stretches of the rugged coast as uninhabitable, we proceeded with analyses of the rest of the coastline. Our results indicate that all major settlements were sited to provide safe boat landing, good vantage points and shelter from storms. From these habitation sites, boat technology would have provided flexible access to diverse resources that were available throughout the year, and within a limited travel radius. We also demonstrate that these settlement strategies contrast with the way that the same coastlines were inhabited by pioneering groups in the early Holocene but appear to have some similarities with mid-Holocene coastal settlement patterns in Newfoundland and the Aleutian Islands. Overall, our results suggest that the multiple resources available along northern coastlines often enabled populations to occupy relatively localized areas for long periods. Longer-range mobility and interaction may instead have been primarily driven by socio-political factors rather than subsistence needs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".