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Record W4213270782 · doi:10.21659/rupkatha.v11n2.01

Reclaiming Indigenous Identity and Cultural Diversity in Canada

2019· article· en· W4213270782 on OpenAlexaboutno aff
Santosh Kumar Bharti

Bibliographic record

VenueRupkatha Journal on Interdisciplinary Studies in Humanities · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousMulticulturalismLanguage policyGovernment (linguistics)PoliticsIdentity (music)Political scienceIndigenous languageNational identityNationalismDiversity (politics)ColonialismPolitical economySociologyLawLinguisticsAesthetics

Abstract

fetched live from OpenAlex

Linguistic diversity is the key to Canada’s multicultural identity which it has been struggling to maintain for decades. Its language policies are rooted in two kinds of languages, the languages of European settlers and the indigenous languages spoken by aborigines who are the native residents of Canada. Despite the country’s conservation policy, social tensions and political debates abound on how it treats its languages by according them official or non-official status. Canada first developed its language policy in 1960s on account of Quebec nationalism and growing tensions between colonizing rivals. This led to establishment of policies which rendered English and French as official languages while indigenous languages got little support. Consequently, language-based discrimination is central to the nation’s social and political debates, which inform its self-image since the conquest of indigenous tribes. A combination of factors like hostile colonial policies, reserve systems and residential schools have undermined these languages and separated communities sharing common languages and traditions. This paper will assess how Canada’s indigenous tribes have fared since the implementation of national language policy which mandates protection of indigenous culture and identity. It will examine the treatment of indigenous languages in the current political milieu of Canada, and the progress made by the government towards adoption of important laws and path-breaking policies to create a future that nurtures its multicultural roots while affirming the national identity.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.336
Teacher spread0.250 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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