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Record W4220705632 · doi:10.37213/cjal.2022.31841

Indigenous Language Revitalization and Applied Linguistics: Conceptualizing an Ethical Space of Engagement Between Academic Fields

2022· article· en· W4220705632 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Applied Linguistics · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of ReginaUniversity of Victoria
Fundersnot available
KeywordsIndigenousConversationSociologyApplied linguisticsColonialismSpace (punctuation)LinguisticsIndigenous languageAnthropologyMedia studiesPolitical scienceCommunication

Abstract

fetched live from OpenAlex

This conceptual paper examines the relationship between two academic areas: applied linguistics and Indigenous language revitalization. While the two domains have shared interests, they tend to operate separately. This paper examines: 1) possible reasons for this separateness; 2) mutually beneficial reasons to be in closer conversation and 3) changes necessary for the creation of an ethical space of engagement (Ermine, 2007) between these academic areas. We write from distinct positions: Belinda, a nēhiyaw woman working in Indigenous language resurgence and Andrea, a white settler woman working in language issues related to settler-colonialism. Drawing from our joint and individual experiences, we explore how these research fields can complement each other as well as intersect to create richer interdisciplinary knowledge.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.070
GPT teacher head0.414
Teacher spread0.344 · 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