Sharing deep history as digital knowledge: An ontology of the Sq’éwlets website project
Bibliographic record
Abstract
Ontology is the philosophical study of the nature of being, becoming, existence, and relation. This paper presents an ontology of the Sq’éwlets Virtual Museum of Canada Website Project, a project that has focused on creating a digital community biography of the Sq’éwlets First Nation ( www.digitalsqewlets.ca ). Based on several decades of community archaeology and the recent production of short video documentaries, the website presents a long-term perspective of what it means to be a Sq’éwlets person and community member today. We explore how this project came to focus on the nature of being Sq’éwlets; how community members conceived the nature, structure, and nomenclature of the website; and how this Sq’éwlets being-ness is translated for outside audiences. We suggest what lessons this approach has for anthropological conventions of naming and knowing as they relate to Indigenous histories, and consider how archaeological knowledge can be transformed into a digital platform within a community-based process.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.010 | 0.048 |
| Scholarly communication | 0.016 | 0.018 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".