Vitality of Damana, the language of the Wiwa Indigenous community
Bibliographic record
Abstract
The Wiwa are Indigenous[1] people who live in the Sierra Nevada de Santa Marta in Colombia. This project examines the vitality of Damana [ISO 693-3: mbp], their language, in two communities that offer bilingual high school education in Damana and Spanish. Its aim is to measure the level of endangerment of Damana according to the factors used in the UNESCO Atlas of the World’s Languages in Danger. Quantitative and qualitative data were collected through a questionnaire that gathered demographic and background language information, self-reported proficiency and use of Spanish and Damana [n=56]. Besides the questionnaire, interviews with teachers and parents [n=27], and students [n=29] elicit attitudes towards the languages in question and describe the condition of Damana. Finally, the project includes detailed field notes.Results indicate a difference in language use and competence between older and younger generations, suggesting a pattern of language shift that results in rating the language as definitely endangered. The most urgent linguistic needs for these communities include Native Damana-speaking teachers, language documentation and pedagogical material.\n[1] In his style guide, Practical English Usage, Swan (as cited by the Department of Justice of Canada, 2015) states that initial capitals are used for “nouns and adjectives referring to… ethnic groups.” And despite the fact that the Canadian Constitution Act, 1982 does not capitalize the term aboriginal peoples, the words Aboriginal, Indigenous and Natives are capitalized in the Canadian context. This does not only show proper grammar but demonstrates respect.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".