Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper will present the context of the depth of on-going language loss as a result of Canadian education policy and the effort of the Syilx Okanagan Language Speakers to create a path toward the revitalization of Nsyilxcn as a language in use. The Nsyilxcn language is on Canada’s list of most endangered languages. The chapter will discuss the various challenges, successes and achievements of the Okanagan Language Association and the En’owkin Centre to engage with the community on language initiatives. It will thus provide an overview of the different areas of research, development and revitalization in the Syilx communities, through a multi-layered and comprehensive approach to language recovery. This includes the development of a Nsyilxcn language Teacher Training program, which has resulted in the certification of Nsyilxcn Language teachers now working in many schools, a community-based adult language learning certificate and diploma program, partnered with the Nicola Valley Institute of Technology, which is currently adding many new speakers annually, and a local Syilx Communities Chiefs Advocacy of language in everyday use initiative. In collaboration with the Indigenous Higher Learning Association, En’owkin Centre is currently leading a province-wide initiative for an undergraduate degree in Aboriginal Language Fluency for all Aboriginal language groups in British Columbia. Recently, the Minister of Advanced Education approved the Nsyilxcn Language Fluency Degree at the University of British Columbia Okanagan.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.023 | 0.008 |
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 it