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Record W2899303248 · doi:10.18584/iipj.2018.9.4.3

Indigenous Language Knowledge and Educational Attainment Among First Nations People: Trends Over Time

2018· article· en· W2899303248 on OpenAlexafffundvenueabout
Évelyne Bougie, Dafna Kohen, Anne Guèvremont

Bibliographic record

VenueInternational Indigenous Policy Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of OttawaStatistics Canada
FundersIndigenous and Northern Affairs Canada
KeywordsIndigenousIndigenous languageEducational attainmentCensusFirst languageSociologyPsychologyDemographyGeographyEconomic growthLinguisticsPopulationEconomics

Abstract

fetched live from OpenAlex

This study investigated whether associations between Indigenous language knowledge and educational outcomes might be changing for cohorts of language speakers over time. Using Census and National Household Survey data, educational attainment for First Nations people aged 20 to 34 was examined at four time points (1996, 2001, 2006, and 2011), separately for those able versus unable to speak an Indigenous language and separately for those living on and off reserve. Findings point to improvements in levels of education for Indigenous language speakers among First Nations people living on and off reserve. Findings should be interpreted with caution as differences in educational attainment may reflect differences between language speakers and non-speakers that go beyond the ability to speak an Indigenous language.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.867
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.020
GPT teacher head0.441
Teacher spread0.421 · 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 teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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

Citations2
Published2018
Admission routes4
Has abstractyes

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