Embodying Emergence: Reclaiming ȽÁU, WELṈEW
Bibliographic record
Abstract
W̱SÁNEĆ territory, located on what is known today as the southern part of Vancouver Island, is a storied landscape, holding within its geographical features many sacred places with their own SENĆOŦEN names and stories. For the Grade 3 students of the ȽÁU, WELṈEW̱ Tribal School, a visit to ȽÁU, WELṈEW̱, the mountain that bears the same name as the school, unearthed an unfamiliar layer of the stories connected to this place, which has long been held sacred to the W̱SÁNEĆ people. In the voices of these students, who are now in Grade 4, this article recounts their trip to the ȽÁU, WELṈEW̱ mountain in June 2018 and the process of toponymic activism that followed. The students’ Grade 3 teacher, a Euro-settler educator, joins the students in co-authoring this article, which illustrates why reclaiming Indigenous place names is important to decolonizing the map, first locally for these students and this particular place, and then in a broader sense.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.010 | 0.012 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".