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Record W7113180267

Nurturing Refugee Hospitality: A Case Study of Canada's Private Sponsorship of Refugees Program and Its Implications for South Korea

2025· article· W7113180267 on OpenAlexaboutno aff

Bibliographic record

VenueNSUWorks (Nova Southeastern University) · 2025
Typearticle
Language
FieldSocial Sciences
TopicKorean Peninsula Historical and Political Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeHospitalityCivil societyQualitative researchFocus groupPolitics
DOInot available

Abstract

fetched live from OpenAlex

The global refugee crisis, intensified by protracted wars and conflicts, increasingly demands responsibility from hosting countries. However, South Korea (Korea) has maintained a closed stance on refugee intake, with an annual average of only 48 refugees accepted since implementing its refugee law in 1994. Such responses from hosting countries are inadequate for addressing the refugee crisis. This research seeks out strategies to enhance inclusivity and hospitality towards refugees in closed hosting countries such as Korea. To that end, Canada’s Private Sponsorship of Refugees Program (PSRP) case will be examined. Over the past 40 years, Canada’s PSRP and its civil organizations have successfully resettled over 300,000 refugees, fostering a welcoming climate. This may provide implications for Korean civil leaders and local actors to apply in their context. This research will focus on finding social conditions and motivations that enabled the private sponsors’ involvement in refugee protection and allowed their sustainable action. Qualitative secondary analysis that uses data from published research and media will be utilized. The data comprises interviews and surveys, including responses from over 700 sponsors. The findings indicate that the legal structure of the PSRP, the government’s leadership in promoting the program, and the roles of media and civil organizations in encouraging public participation shaped social conditions that streamlined Canadian citizens’ engagement. Under the circumstances, the individuals were motivated by media, ethics and compassion, refugee experiences, desire for political response, and family concerns, while emotional rewards and their community’s encouragement drove some private sponsors to engage continually. This research could contribute to finding effective ways for Korean civil leaders and local actors to nurture a culture of peace, including values of understanding, tolerance, and social cohesion, in their society. Additionally, this research provides actionable strategies for them to emphasize community engagement as a key factor for fostering refugee hospitality.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.036
GPT teacher head0.297
Teacher spread0.261 · 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
Published2025
Admission routes1
Has abstractyes

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