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Native American Youth and Language Learning and Use

2018· other· en· W3186867573 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe TESOL Encyclopedia of English Language Teaching · 2018
Typeother
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNative HawaiiansIndigenousCultural assimilationNative americanFirst languageIndigenous languagePopulationLanguage shiftLinguisticsGeographySociologyPolitical scienceEthnologyEthnic groupDemographyPacific islandersAnthropologyEcology

Abstract

fetched live from OpenAlex

In the 19th century, an assimilationist movement swept across the United States to remove cultural evidence from Native American people—American Indians, Alaska Natives, and Native Hawaiians. Boarding schools and language policies created long‐lasting impacts on this minority population, contributing to a language shift toward English. Children were forcibly removed from their homes and taken to residential schools where their Native languages were forbidden and English encouraged. These factors disrupted intergenerational language transmission, resulting in a rapid decline of speakers. Despite drastic measures by colonizing powers, Indigenous languages still exist. In some of these communities, thousands of speakers prevail, while in other communities less than a handful of last speakers remain. Language educators and speakers have breathed life back into these endangered languages, providing opportunities for children and youth to learn and speak their Indigenous language in communities as well as schools—institutions that once suppressed their voices.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.567
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.018
GPT teacher head0.367
Teacher spread0.349 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it