Language ecology, language endangerment, and relict languages: Case studies from Adamawa (Cameroon-Nigeria)
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
Abstract As a contribution to the more general discussion on causes of language endangerment and death, we describe the language ecologies of four related languages (Bà Mambila [mzk]/[mcu], Sombә (Somyev or Kila) [kgt], Oumyari Wawa [www], Njanga (Kwanja) [knp]) of the Cameroon-Nigeria borderland to reach an understanding of the factors and circumstances that have brought two of these languages, Sombә and Njanga, to the brink of extinction; a third, Oumyari, is unstable/eroded, while Bà Mambila is stable. Other related languages of the area, also endangered and in one case extinct, fit into our discussion, though with less focus. We argue that an understanding of the language ecology of a region (or of a given language) leads to an understanding of the vitality of a language. Language ecology seen as a multilayered phenomenon can help explain why the four languages of our case studies have different degrees of vitality. This has implications for how language change is conceptualised: we see multilingualism and change (sometimes including extinction) as normative.
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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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