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Record W6992839254

Multicultural Australia

2019· other· en· W6992839254 on OpenAlexaboutno aff

Bibliographic record

VenueGriffith Research Online (Griffith University, Queensland, Australia) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismIndigenousIndigenous rightsLegislatureLiberalismMinority rightsCultural diversityPopulationInstitutionalisation
DOInot available

Abstract

fetched live from OpenAlex

The rise and fall of multiculturalism and public support for multiculturalism in Australia has historically been influenced by social issues, such as public concerns about globalisation, national identity, immigration, social cohesion and population growth. In contrast to other settler countries, multiculturalism was originally developed to dismantle the White Australia policy and provide the legislative and policy foundations for supporting migrants from non-English-speaking backgrounds (NESB). In Australia, multiculturalism has focused primarily on the needs of migrants and their right to express their cultural identities. Attempts to include Indigenous Australians in multicultural policy have been met with caution due to the concern of conflating issues regarding Indigenous Australians (especially with regards to land rights, constitutional recognition and reconciliation) with distinctly migrant experiences.1 Multiculturalism is underpinned by a vast body of philosophical literature on modern liberalism and cultural diversity that examines the concept of a ‘politics of difference’.2 Kymlicka, for instance, explores the importance of collective rights to self-determination. These rights can be held by individuals or groups, such as minority nationals or Indigenous peoples.3 Kymlicka argues that cultural group rights are needed, on the one hand, to protect a cultural community from forced segregation and, on the other, to provide enough flexibility to protect other communities from forced integration (i.e. Indigenous peoples).4 Countries have approached multiculturalism differently due to their unique historical, legal and cultural circumstances. For instance, in Canada multiculturalism was introduced to resolve tensions between French- and English-speaking Canadians. There was a much stronger emphasis on the institutionalisation of multiculturalism in Canada than in Australia, which was strengthened in 1982 with the inclusion of protections for Canada’s multicultural heritage in the Charter of Rights and Freedoms. This was followed by the Canadian Multiculturalism Act 1988 which aimed to address the under-representation of minority groups in parliament. In contrast, Australia has never adopted a legal framework for multiculturalism. Instead, it has focused on improving social and economic outcomes for migrants from NESB. Before the introduction of multiculturalism in Australia, migrants from NESB struggled with low levels of English literacy and were often the victims of racism and discrimination due to the enduring impact of the White Australia policy. This chapter focuses on the development of multiculturalism in Australia, as distinct from other countries around the world. The first section of the chapter traces the development of multicultural Australia in three distinct phases: 1) integration of non-British postwar European migrants; 2) social justice and equality; and 3) citizenship and civics. The second section of the chapter examines public attitudes towards multiculturalism over time, drawing on findings from the Australian Election Studies, and reflects on the meaning of multicultural Australia in the 21st century.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.190
Threshold uncertainty score0.635

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.001
Scholarly communication0.0040.003
Open science0.0010.009
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.1900.047

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 head0.224
GPT teacher head0.417
Teacher spread0.193 · 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 designNot applicable
Domainnot available
GenreOther

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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