Hear Our Languages, Hear Our Voices: Storywork as Theory and Praxis in Indigenous-Language Reclamation
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
Storywork provides an epistemic, pedagogical, and methodological lens through which to examine Indigenous language reclamation in practice. We theorize the meaning of language reclamation in diverse Indigenous communities based on firsthand narratives of Chickasaw, Mojave, Miami, Hopi, Mohawk, Navajo, and Native Hawaiian language reclamation. Language reclamation is not about preserving the abstract entity “language,” but is rather about voice, which encapsulates personal and communal agency and the expression of Indigenous identities, belonging, and responsibility to self and community. Storywork – firsthand narratives through which language reclamation is simultaneously described and practiced – shows that language reclamation simultaneously refuses the dispossession of Indigenous ways of knowing and refuses past, present, and future generations in projects of cultural continuance. Centering Indigenous experiences sheds light on Indigenous community concerns and offers larger lessons on the role of language in well-being, sustainable diversity, and social justice.
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 | 0.003 | 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 | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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