Ancient Wolastoq'kew landscapes: settlement and technology in the lower Saint John River valley, Canada
Bibliographic record
Abstract
Although mobility has been integral to the Wolastoqiyik in the recent past, the nature of pre-contact mobility in the lower Saint John River remains unclear. Mobility and settlement, while articulated as a theme in regional cultural history, are unevenly described in terms of archaeological data. Furthermore, we have rarely explored the link between mobility and technology, transportation and communication. This set of loosely integrated ideas forms the conceptual substrate for this research. Although it may be unrealistic to expect to weave such broad themes into a congruous whole, I will explore connections between these ideas and archaeological patterning in the Maritime Peninsula. Key to this exploration is a critical and frank evaluation of mobility and space. How can we explore the notion of territories and catchments? What is the relationship between the construction of spatial units, archaeological patterning, and actual groups of people in the past? How did people move within these units of space? How did these movements through space constrain or interact with other aspects of the archaeological record? How permeable were the edges of these units, and how did people, ideas and objects move through them?Recent archaeological approaches have expanded on notions of mobility. Most of these expansions involve pursuing the imagined implications of mobility for other aspects of material behaviour. In particular, mobility is thought to be particularly influential on the intensity of the extraction of particular suites of resources, and the technologies that are developed to carry out these tasks. As a result, many archaeologists have explored models that weigh possible costs and benefits of tool size, flexibility and labour requirements. This focus on material behaviour, however, has been at the expense of social and ideological behaviour. While we might equally envisage the impact of greater or lesser local (intra-territorial) mobility on regional (or inter-territorial) mobility, considerably less time has been devoted to contemplation of what these mean in behavioural terms. Although these questions are germane to the whole of the Maritime Peninsula, and indeed to the archaeology of the greater Northeast, I will explore them in the context of a series of sites and components in the lower Saint John River valley. These offer a chronologically and spatially circumscribed data base with which we can test our expectations about hunter-gatherer mobility and settlement in a refined and explicit manner. (Abstract shortened by UMI.).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".