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Record W2149911962 · doi:10.5663/aps.v1i2.8965

Aboriginal Languages in Urban Canada: A Decade in Review, 1996 to 2006

2011· article· en· W2149911962 on OpenAlexvenueaboutno aff
Mary Jane Norris

Bibliographic record

Venueaboriginal policy studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousGeographyFirst languageSociologyLinguisticsEconomic growthEcology

Abstract

fetched live from OpenAlex

Canada’s Indigenous languages and cultures are generally associated with Aboriginal communities and reserves outside of cities. Yet in both the 1996 and the 2006 Censuses, close to one in five persons who reported an Aboriginal mother tongue lived within the boundaries of a major Canadian city. This article explores the situation of Aboriginal languages within Canada’s urban areas in general. It presents for the first time a demographic analysis of urban trends and changes in Aboriginal languages over the decade between 1996 and 2006. Results yield useful insights into how Aboriginal languages have been faring within Canadian cities, with respect to size and viability; language use, transmission and learning; and first and second language speakers. The implications of these findings for language prospects of Aboriginal peoples in Canada’s cities suggest continued challenges, needs and requirements for support in maintaining their traditional languages within an urban environment.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.030
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0090.028
Science and technology studies0.0020.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.069
GPT teacher head0.506
Teacher spread0.437 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2011
Admission routes2
Has abstractyes

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