My Plains Cree (nêhiyawêwin) language classes
Notice bibliographique
Résumé
I would like to share some of the experiences I have had as a Cree speaker and language instructor who is now becoming a Cree linguist. CILLDIâs Community Linguist Certificate program has provided me with much insight about my language. As a fluent speaker who also studied Cree at the university for 4 years, I was not aware of the importance of morphological structure, meaning, and sentence patterns of nÈhiyawÈwin. The Cree courses I took focused on formal grammar and the rules and functions of nouns, verbs, and sentences in isolation. With the CLC courses, I began to think deeply about how rich nÈhiyawÈwin is and started to understand the complexities of the language and how everything is interconnected. In the CLC classes, we examined word formation patterns and explored ways to coin new words without losing the trail of meaning. For example, in Cree the word for âgreenâ is askihtakwâw and is connected to askiy, the word for âmother earthâ. In English, what is the word âgreenâ connected to? I believe that in learning Cree, one needs to make these cultural and environmental associations. The CLC has helped me better understand the relationship between Cree words and Cree language and culture.\n \n In this paper, I describe how the CLC has affected my teaching of Cree at the University of Alberta. I will use the example of an intensive Introduction to Cree class in an immersion setting. This is a 7-day, all-day course for adult beginners offered through CILLDI. I use story-telling (both traditional Cree stories and familiar English fairytales) as the starting point for lessons on pronunciation, word structure, and word order in sentences. By basing my lessons around stories, I can use a lot of visual props and repetition, which help my students understand what Iâm saying. With stories and simple commands and questions based on the expressions in the stories, I can keep my utterances whole and constantly contextualized. nÈhiyawÈwin remains the focus, not a set of lessons based on greetings, lists of object names, or TPR-commands that wouldnât be very appropriate with adult learners. After working through individual stories, I give my students a written and glossed version of each story to reinforce the utterances that they have heard. I do not arrange the lessons from simple to more complex words and sentences, but take the language as it comes in the stories and build what I do in the classroom from there.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,013 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».