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Supporting native languages & encouraging early literacy with children's books

2015· other· en· W7062520158 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueAmericanae (AECID Library) · 2015
Typeother
Langueen
DomaineEngineering
ThématiqueAdvanced Power Generation Technologies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFirst languageLiteracyNative americanDigital nativeNative-language instructionAllianceFocus group
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In April of 2014, the President of the National Alliance to Save Native Languages provided testimony to the U.S. House on the need to support programs that help meet the linguistically unique educational needs of Native students while also preserving, revitalizing, and using these students’ native languages. These educational needs are especially prominent in Alaska, as Native students currently have lower rates in literacy achievement (Sparks, 2012; ISER, 2009) and higher rates of high school dropouts (Alaska Dept. of Education, 2011) than any other group of students. However, the need to preserve their native languages might be even greater, for the average Alaska Native tongue has fewer than 1,000 speakers, the majority of whom are over the age of 70 (Twitchell, reported in Kelly, 2014), a trend not likely to change when only two of the twenty languages in use in Alaska are being picked up by younger generations (Verdugo, 2006) and all but one are listed as declining (ANLPAC, 2014). To combat both issues, we are working on a project that provides dozens of children’s books to families, children, and teachers in Alaska Native languages through the use of a free digital library with translated texts, as delivered through UniteForLiteracy.com. This approach was formulated based on recommendations from the Alaska Native Language Preservation and Advisory Council, who suggested the best method to reinforce Alaska Native languages and culture was to promote whole family learning and speaking, which is best fostered in learning opportunities that focus on early childhood language acquisition (2014). Additionally, we kept in mind research that suggests one of the best indictors of children’s success in school is related to how much they have been read to (Kern & Friedman, 2009). Attention was also paid to recommendations from the National Assessment of Educational Progress, who indicated that the number of books in the child’s home and the frequency with which they read was also related to higher test scores (U.S. Department of Education, 2013). While results from this project are still forthcoming, the aim of this presentation is to share our approach, implementation efforts, and resulting artifacts and anecdotal records. There is no reason that these efforts have to be limited to Alaska Native languages and thus our hope is that others interested in language conservation see this is a viable option for preserving and promoting their native language while also increasing educational outcomes for students. Citations: Alaska Department of Education (2011). Statistics & Reports (Data file). Retrieved from http://education.alaska.gov/Stats/ ANLPAC (Alaska Native Language Preservation and Advisory Council). (2014, July). Alaska Native Language Preservation and Advisory Council: Report to the Governor and Legislature, Juneau, AK: Evans Smith, A., Counceller, A.G.L., Churchill, D., Alvanna-Stimpfle, B.Y., Charles, W. Institute of Social and Economic Research (ISER). (2009). Kids Count Alaska, 2009/2010. Anchorage, AK: Hanna, V., Schreiner, I., DeRoche, P., Ikatova, I., & Trimble, E. Kern, M.L. & Friedman, H.S. (2008). Early educational milestones as predictors of lifelong academic achievement, midlife adjustment, and longevity. Journal of Applied Developmental Psychology, 30(4), 419-430. Twitchell, L. (2014), as quoted by Kelly, C. (2014, February 18). Supporters cheer Alaska Native languages bill. Message posted to KTOO News. http://www.ktoo.org/2014/02/18/supporters-cheer-alaska-native-languages-bill/ Sparks, S. (2012, July 3). NAEP Scores Still Stalled for Native American Students. Education Week, 31(36). U.S. Department of Education, Institute of Education Sciences, National Center for Educational Statistics, National Assessment of Educational Progress (NAEP) 2013 Reading Assessment. Verdugo, R.R. The Invisible Minority: The Education of the American Indian Population. Paper presented at the annual meeting of the American Sociological Association, Montreal, Canada. (As referenced in National Education Association. (2006, September). Focus on American Indians/Alaska Natives, Endangered Indian Languages. As retrieved from http://www.nea.org/assets/docs/HE/mf_aianfocus06.pdf)

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,124
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,005
Tête enseignante GPT0,241
Écart entre enseignants0,236 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle