‘Breaking the fourth wall’: 3D virtual worlds as tools for knowledge repatriation in archaeology
Bibliographic record
Abstract
Interactive 3-dimensional worlds and computer modeling can be used to excite interest in archaeology among indigenous groups such as the Inuit of the North American Arctic and Greenland. Using two case studies – a recently completed exhibition for the Virtual Museum of Canada on Thule Inuit whalebone houses and an interactive virtual world structured around the Siglit-Inuvialuit sod house – we explore how digital replicas might be used in the repatriation of traditional knowledge. This idea is examined through theexperiences of nine Inuit Elders who explored our digital reconstructions of Thule and Siglit-Inuvialuit dwellings in 3D. Discussions with the Elders suggest that the generic sense of ‘presence’ generated by 3D viewing enhanced their feelings of connectedness to their past. This would imply that virtual reality and 3D technology might be useful in establishing new discourses in archaeological interpretation, as well as assisting in the exploration, construction, and maintenance of cultural identities through knowledge repatriation.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.022 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".