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Record W6921754592 · doi:10.7939/r3-2tap-yw56

The Canadian Contradiction: Perspectives of Multiculturalism, Immigration, and Discourses of Othering in Canada

2022· dissertation· en· W6921754592 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Alberta Library · 2022
Typedissertation
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsnot available
Fundersnot available
KeywordsImmediacyRefugeeIdentity (music)RacismRepresentation (politics)National identityMass mediaSocial identity theoryCollective identity

Abstract

fetched live from OpenAlex

Social learning and the construction of a shared culture and worldview are crucial aspects that shape people’s individual and collective identities, determine their sense of ‘belonging’ to society, and establish difference from others. While adult education can be a self-motivated and self-directed process, assumptions and identities learned socially can influence adult learning experiences (formal or informal) and interactions with others. The Canadian identity is the construction of a national collective ‘self’ under principles of nationalism, enforced by the nation-state. As other identities, it is validated through exclusion, and even domination, of the ‘other.’ A review of Canadian history shows a national identity created to reflect and exalt that of the British colonizer, utilizing racism as a form of exclusion rather than the nation-state borders. This idea of the Canadian ‘self’ and rejection of others has been socialized over centuries through formal and informal channels, including mass media. With the technological options for immediacy of communication and information, questions arise about how much knowledge people receive from the media as a form of social learning and how much it affects how Canadians see themselves and others. Between 2015 and 2016, the mass resettlement of Syrian refugees in Canada occupied news headlines daily, eliciting diverse opinions and reactions on traditional and social media channels. The constant representation and discussion of Syrian refugees in the news, as well as heated arguments about them on public channels, inspired the research questions for my study: What are the discourses being disseminated publicly on the topic of the mass migration of Syrian refugees to Canada? How do these discourses and perceptions relate to national identity, ‘othering’ and systemic power relations in Canada? Taking Norman Fairclough’s dialectical-relational approach to critical discourse analysis (CDA) as a methodology, I conduct a review of more than 800 news and opinion articles from three Canadian nationwide news media outlets, including textual and visual discourses, over the span of 15 months. This analysis looks at the marginalization of newcomers as a broad social wrong from a semiotic aspect and identifies the dialectics between semiosis and other elements, including social practice, as well as the instances of recontextualization and reconfiguration of existing discourses. My CDA shows six recurring discourses from journalists, politicians, and Canadian citizens related to the Syrian refugees' identity and their position in relation to the Canadian identity, often emphasizing differences between both and reproducing local and imported historical discourses of racism and arabophobia. Many present a stark contradiction with Canada’s official multicultural identity as well. I conclude that the dissemination of these discourses is neither necessarily conscious nor unique to certain political ideologies or affiliations, but should lead us to reflect on media and journalists in a role of potential facilitators of knowledge and the implications of mass-disseminated identity discourses that uphold oppression and unequal power relations between groups.

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 score0.082
Threshold uncertainty score0.523

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 head0.004
GPT teacher head0.216
Teacher spread0.212 · 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
Published2022
Admission routes1
Has abstractyes

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