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Record W7048170855

Invisibilized Providers: The Role of Racialized Diasporas in Refugee Sponsorship

2024· other· en· W7048170855 on OpenAlexfundaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2024
Typeother
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsRefugeeDiasporaGovernment (linguistics)General partnershipPower (physics)Work (physics)Civil society
DOInot available

Abstract

fetched live from OpenAlex

For more than 40 years, civil society groups have volunteered their personal time, energy, and finances to resettle more than 370,000 refugees through Canada’s Private Sponsorship of Refugees (PSR) program. Much of this sponsorship is done and supported by former refugees themselves, who are defined in this research as racialized diaspora sponsors. The PSR program is a public-private partnership between the federal government and Canadian residents, who have joined together to provide protection to refugees in need. Private sponsorships are commonly arranged by local communities, faith-based organizations, or private citizens who have entered into agreements with the federal government. The existing literature underrepresents the crucial role and work of sponsors who are part of racialized diasporas engaged in refugee sponsorship.\n\nThis dissertation probes the invisibilized sponsorship role of racialized diasporas made up of former refugees and asylum seekers to Canada. Based on testimony from in-depth, semi-structured interviews with sponsors and key informants triangulated with ‘born digital’ material, the research analyzes the motivations, activities, and contributions of Ethiopian, Eritrean, and Oromo diasporas in Alberta, British Columbia, and Ontario. A ‘study up’ technique is used to examine the complexities of power at multiple sites and scales. It engages with feminist geopolitics/politics of security to develop analyses of refugee protection that go beyond state-centric perspectives. Sponsorship is reframed as a community initiative driven by individuals affected by displacement.\n \nThe findings reveal that racialized sponsors who were themselves resettled to Canada undertake most of the heavy lifting in sponsorship circles, but their work is largely invisible. The findings also indicate that key issues, such as naming and monitoring, have implications for the equitable distribution of refugee protection spaces across more racialized geographies in sub-Saharan Africa. Empirically, this dissertation fills an important knowledge gap that passively references the participation of racialized diaspora sponsors. As Canada’s refugee protection efforts continue to garner global attention, this research has important implications for policy transfer and programming as it relates to sustainability, scalability, and diversification over the longue durée. Such findings are vital to Canadian public policy goals and practices of social inclusion and cohesion, and more specifically, to the global implications of Canadian policies and practices concerning refugee protection.

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)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.085
Threshold uncertainty score0.170

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0230.017
Scholarly communication0.0090.005
Open science0.0010.012
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.006
GPT teacher head0.160
Teacher spread0.154 · 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 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 routes2
Has abstractyes

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