Toward Language in Action: Agency-Oriented Application of the GRASAC Database for Anishinaabe Language Revitalization
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
Under the direction of Ruth Phillips, GRASAC (Great Lakes Research Alliance for the Study of Aboriginal Arts and Culture) is a worldwide collaborative research consortium composed of indigenous community members, museum professionals, and academic researchers. This article discusses a project that explored the potential of GRASAC’s database to support language revitalization. The authors video recorded interviews with two beadworkers in the Anishinaabe language. Applying andragogy theory to the natural approach to language acquisition, the team processed the video into content rich video clips with a focus on the domain specific vocabulary of beadwork that is relevant to the heritage items in the GRASAC database. The team applied an agency-oriented approach to software development by systematically testing five use cases for uploading the language data into the GRASAC database. The collaborative process revealed unexpected results at the intersection of language and culture revitalization, and recommendations for applying new technologies to develop new techniques for promoting indigenous language acquisition.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it