Where do we keep our past? : working towards an indigenous museum and preserving nunavut's archaeological heritage
Bibliographic record
Abstract
In Nunavut at present there exist only a small number of visitor’s centres and only one museum, which has rather limited capacities. This means that very few residents of Nunavut have access to a comprehensive museum, especially one that holds Inuit cultural material—unless they travel outside of the territory. There is an opportunity, therefore, to look at how a well-developed Nunavut museum could affect Inuit social well-being by exposing people to their own cultural material as well as how this could affect other social realms such as education and cultural revitalization. Through research on existing cultural centres in Canada and the United States I demonstrate the importance of access to museums for cultural well-being, cultural preservation and revitalization. Employing qualitative research methods in the study of existing cultural centres in Canada I explore the question of what museum and heritage centre models work best for indigenous and isolated communities. This research shows that there is enormous potential for significant positive cultural impacts in Nunavut with the development of a museum to call our own.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.034 | 0.014 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 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".