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Record W4402326158 · doi:10.7302/23790

Talking Over Each Other: Diasporic Punjabi Artists and the Ideologies of Public Arts in Multicultural Canada

2024· article· en· W4402326158 on OpenAlexaboutno aff
Conner Singh VanderBeek

Bibliographic record

VenueDeep Blue (University of Michigan) · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Studies and Diaspora
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismThe artsIdeologySociologyVisual artsGender studiesArtMedia studiesAnthropologyPolitical sciencePedagogyPoliticsLaw

Abstract

fetched live from OpenAlex

Public arts in Canada are conceptualized as a reflection of the multicultural character of the country and the diversity of ethnocultural identities it hosts. Within the framework of multiculturalism, however, the Canadian state only recognizes two, sometimes three, official cultures: Anglophone, Francophone, and Indigenous. South Asians represent over 26% of the visible minority in Canada. Among South Asians in Canadian, Punjabis are the leading ethno-linguistic group, yet their place in Canadian culture, history, and heritage remains the subject of debate across the country, its provinces, and its urban centers. This dissertation examines historical, political, and social factors that generate power imbalances between Canadian public arts institutions pursuing diversity-based programming and diasporic Punjabi artists and musicians who face tokenism, essentialism, and censure as they find space within public arts. The goal of this project is to contribute to, through breakdown and analysis of the Canadian public art world, understandings of how visual art and musical expressions by racialized and diasporic artists are converted by the state and its public arts system into symbols of flattened ethnic identity and of multicultural diversity. Drawing from Arjun Appadurai’s theory of -scapes (1996), Sara Ahmed’s interrogation of institutionalized diversity (2012), Deborah Root’s (1996) and Deleuze and Guattari’s (1972) explorations of deterritorialization, and Howard Becker’s notion of art worlds (1982), I propose a structure of public arts -scapes that breaks Canadian public arts into five dynamic and multiscalar fields of activity: of policy, funding, curation, exhibition, and composition. I argue that Canadian public arts, as an economic and cultural sector, is built on a complex web of tactical negotiations and power struggles among and between agents and stakeholders of these five -scapes. Agents in each -scape use their involvement in public arts as performative proof of their societal aims, even if these outcomes contradict and/or hinder the production of artists’ works and the aims outlined in other -scapes. The introductory chapter of this project offers a historical, contextual, and theoretical review of multiculturalism and musicological writings on hybridity before introducing my theory of -scapes. Chapter two provides histories of Canadian immigration policy, of the national image and the development of multiculturalism, of the development of the Canadian public arts system, and of Punjabi migration to Canada alongside these developments. Chapter three examines two case studies of COVID-19 era top-down public arts projects in Toronto and Vancouver: (1) an all-Sikh public exhibition, titled chashm-e-bulbul (Eye of the Nightingale), in Toronto’s Bayview Village, held in fall of 2021 as part of the city’s Year of Public Art, and (2) digital programming commemorating the 50th anniversary of Vancouver’s Punjabi Market. Chapter four examines two grant-funded world music albums released by diasporic South Asian artists in Vancouver: sitarist and composer Mohamed Assani’s Wayfinder (2020) and rapper and emcee Ruby Singh’s Jhalaak (2020), a hip-hop collaboration with 19th generation qawwali/folk musicians from Rajasthan, India. Chapter five introduces models of exclusion and backdoor acceptance into Canadian arts through the example of Punjabi gangster music, a violent subgenre of Punjabi popular music. Using the music of late rapper Sidhu Moose Wala and lyricist and singer Chani Nattan, I show how the genre is portrayed by the Canadian government and media apparatus as a sign of a delinquent ethnic subject that must be disciplined to fit into society.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.761

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.016
GPT teacher head0.179
Teacher spread0.164 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2024
Admission routes1
Has abstractyes

Explore more

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