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Record W4391276208 · doi:10.1080/15427587.2024.2308902

Ē-pī-wīcihtāsowin ahpō ē-pī-wīchisowin: non-indigenous learners in Indigenous language-learning spaces

2024· article· en· W4391276208 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCritical Inquiry in Language Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of ReginaFirst Nations University of CanadaUniversity of Victoria
Fundersnot available
KeywordsIndigenousLinguisticsSociologyIndigenous languageAnthropologyPedagogyPhilosophy

Abstract

fetched live from OpenAlex

This paper contributes to ongoing conversations on the contextual differences and considerations between learning an Indigenous language as a member of an Indigenous nation or community and learning an Indigenous language as a non-Indigenous person (Albury, 2015; Berardi-Wiltshire & Bortolotto, 2022; May 2023; O’Toole, 2020; Te Huia, 2020). While we see value in considering how non-Indigenous Canadians can positively contribute to Indigenous language revitalization efforts, we also want to consider the consequences of that involvement for Indigenous Peoples who are asked to share Indigenous language learning spaces with non-Indigenous students. As a group of colleagues from different communities, all with connections to Indigenous language revitalization, we came together to consider questions such as: Are Indigenous languages for everyone or are they languages that should be learned only by Indigenous peoples? And if we accept or encourage Indigenous language learning by non-Indigenous Canadians, are there parameters that might need to be implemented? To this end, we used the Indigenous research method of conversation (Kovach, 2010) during biweekly meetings recorded on Zoom. Data consisted of meeting transcripts and web-based documents of written reflections. In our analysis of these documents, we identified three interrelated themes: 1) linguistic insecurity, 2) trauma and language learning and 3) settler dominance in Indigenous language settings. As a settler colonial country, Canada’s past and present continues to shape interactions between Indigenous Peoples and non-Indigenous Canadians in ways relevant to the topic of Indigenous language revitalization. Ultimately, we do want non-Indigenous people to learn Indigenous languages so that these languages can once again be languages of broader society (McIvor, 2012). We also recognize that Indigenous Peoples deserve to reclaim Indigenous languages in safe and trauma-free ways. Ultimately, we must work together to ensure that including non-Indigenous learners in Indigenous language programs does not cause injury to Indigenous learners. This paper offers recommendations for ways to achieve these goals.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.086
GPT teacher head0.521
Teacher spread0.435 · 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