inca sənqsilxʷ (I am all my relations)
Bibliographic record
Abstract
International boundary issues in the Northeast on the US/Canada line in Mohawk country are not the same as in the central Okanagan of the Pacific Northwest; while there are common issues, the complexities of individual communities get lost in a general approach to Northern border issues. To learn from and expand on previous research, I am specifically investigating the influence and interference of the 49th parallel demarcated international boundary line on the current preservation and complexities of identities, cultural and language revitalization/preservation/construction of northern and southern Okanagan people. Using first-person narratives primarily through film, a personal website, and supporting text I will illustrate how individuals within our communities see and resist these impacts. Making visible specifics in the nsyilxwc?n (speakers/people of the Okanagan language) homelands and how the implications of assimilation, colonization, traditional migration, individual indigeneities, tourism, militarization, and local Indigenous economic development have and are impacting our views of ourselves and the labeling of the problems of the Northern boundary line as "not an issue" is a continued battle in this bi-national controlled Okanagan territory.
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 | 0.001 | 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 | 0.008 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.147 | 0.064 |
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".