Nauvikhaq: ‘A Place to Grow’: An Oral History Database in Ulukhaktok, Canada
Bibliographic record
Abstract
‘Nauvikhaq’ is an Inuinnaqtun term that translates to ‘a place to grow.’ It is a fitting name for theoral history database being developed in Ulukhaktok, a small Inuit community in the western Canadian Arctic, as the database will always have room to grow with new stories, songs, and teachings. Nauvikhaq is a partnership between the Inuvialuit Cultural Resource Center, Helen Kalvak Elihakvik (school), and researchers at the University of Guelph and McGill University with funding from Aboriginal Affairs and Northern Development Canada. The intent of the database is to protect the community’s oral history by digitizing cassette tapes and making them available online for community members to hear them. Stories are complimented with photographs, and Inuinnaqtun recordings have written English translations. The database was designed together with community members to ensure that it is user-friendly and that new recordings can be continually uploaded. Nauvikhaq is for generations to come, so that they to can learn about life on the land and hear Inuinnaqtun, a language that is threatened.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.015 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.050 | 0.009 |
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".