Persistent Places and Emergent Landscapes: A Relational History of Tuniit (Paleo-Inuit) Occupation in Amittuq, Nunavut
Bibliographic record
Abstract
This dissertation presents a place-based approach to the study of Tuniit (Paleo-Inuit) social worlds in Amittuq (northern Foxe Basin), NU. The central problem is the identification and explanation of how relational, socially diverse communities were created and repeatedly defined through placemaking activities of different durations, scales, and intensities. In Amittuq, persistent settlement places were integral to these processes. These are places that were repeatedly occupied by Tuniit peoples (c. 4500 – 600 BP), and that endure as sites of living history among contemporary Amitturmiut Inuit. To investigate what these places might embody about the structure, scale, and character of Tuniit communities, the study employs multiple lines of evidence. These include 1) oral testimonies of Inuit Knowledge Holders to develop new expectations about Tuniit placemaking practice; 2) predictive GIS models to interpret postglacial change in landforms and nearshore environments; and 3) the analysis of Tuniit artifacts and architecture from three persistent settlement places — Kapuivik, Qalirusiq, and Alarniq — documented by multimethod survey, excavation, and radiocarbon sequencing. Rather than static backgrounds to predefined archaeological cultures (i.e., Pre-Dorset and Dorset), the research suggests how dynamic relations between people and places historically articulated Tuniit communities at the scales of the household and camp. As product and process of millennia of local community relations, these places were also affective fields where knowledge, memory, and perceptions of history connected people from different times and contexts, contributing to a broader sense of belonging. The result is a narrative in which people and places were co-constitutive of a historically contingent and emergent occupational landscape — one whose material remains continue to acquire meaning as valued components of Inuit cultural heritage
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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 | 0.002 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".