We Are Our Language: An Ethnography of Language Revitalization in a Northern Athabaskan Community
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
For many communities around the world, the revitalization or at least the preservation of an indigenous language is a pressing concern. Understanding the issue involves far more than compiling simple usage statistics or documenting the grammar of a tongue--it requires examining the social practices and philosophies that affect indigenous language survival. In presenting the case of Kaska, an endangered language in an Athabascan community in the Yukon, Barbra Meek asserts that language revitalization requires more than just linguistic rehabilitation; it demands a social transformation. The process must mend rips and tears in the social fabric of the language community that result from an enduring colonial history focused on termination. These disjunctures include government policies conflicting with community goals, widely varying teaching methods and generational viewpoints, and even clashing ideologies within the language community. This book provides a detailed investigation of language revitalization based on more than two years of active participation in local language renewal efforts. Each chapter focuses on a different dimension, such as spelling and expertise, conversation and social status, family practices, and bureaucratic involvement in local language choices. Each situation illustrates the balance between the desire for linguistic continuity and the reality of disruption. We Are Our Language reveals the subtle ways in which different conceptions and practices--historical, material, and interactional--can variably affect the state of an indigenous language, and it offers a critical step toward redefining success and achieving revitalization.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.009 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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