Wksitnuow Wejkwapniaqewa--Mi'kmaq: A Voice from the People of the Dawn.
Bibliographic record
Abstract
ABSTRACT. is a First Nations language spoken in Atlantic Canada and the north-eastern United States -- and like most surviving indigenous languages in North America, it is at risk. The small community of Wagmatcook, Cape Breton, determined to see return from the brink of extinction, has implemented two initiatives that are changing the fate of their language. In the first initiative teachers, day care workers and community members completed a Certificate in Aboriginal Literacy Education. The participants in this program upgraded their skills in reading, writing and speaking Mi'kmaq. As a follow-up initiative, many of these same participants completed a series of workshops to develop books written in targeted for pre-K to grade 3. Because is an oral culture and language, there are not many texts available for teachers to use in the Mi'kmaq as the language of instruction classrooms. To help overcome this shortage, a group of graduates from the literacy program worked with a language consultant to write a series of children's books. These books are age and reading level specifie and thematic. WKSITNUOW WEJKWAPNIAQEWA - MI'KMAQ : UNE VOIX DU PEUPLE DE L'AURORE RESUME. Le mi'kmaq est une langue des Premieres nations parlee dans le Canada atlantique et le nord-est des Etats-Unis - et comme la plupart des langues autochtones qui ont subsiste en Amerique du Nord, elle est menacee de disparaitre. La petite collectivite de Wagmatcook, au Cap-Breton, determinee a voir le mi'kmaq echapper au gouffre de l'extinction, a mis en oeuvre deux projets qui changent la destinee de leur langue. Dans le premier projet, les enseignants, les travailleurs des centres de jour et les membres de la collectivite ont suivi un cours menant a un certificat a apprendre le mi'kmaq. Les participants a ce programme ont developpe leurs aptitudes a lire, a ecrire et a parler la langue. Comme projet de suivi, bon nombre de ces memes participants ont pris part a une serie des ateliers ou ils ont concu livres en mi'kmaq destines aux enfants de la maternelle a la troisieme annee. Le mi'kmaq constituant une culture et une langue orales, les enseigrtants ne disposent pas de beaucoup de textes pour les cours dont le mi'kmaq est la langue d'enseignement. Afin d'aider a combler cette lacune, un groupe de diplomes du programme a travaille avec un conseiller linguistique a la redaction d'une serie de livres pour enfants. Ces livres thematiques sont adaptes a des groupes d'âges et a des capacites de lecture precis.
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How this classification was reachedexpand
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.012 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".