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Record W7162008061 · doi:10.82308/24984

Resettlement Experience in Québec: Arts-Based Approaches to Work with Refugee Girls

2023· dissertation· en· W7162008061 on OpenAlexaboutno aff
Nesa Bandarchian Rashti

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeImmigrationWork (physics)Displaced person

Abstract

fetched live from OpenAlex

Canada has a long history of immigration and has been and remains to be the new home for millions of people from all over the world. From 2016 to 2021, over 1.3 million immigrants settled permanently in Canada and 218,430 of them were new refugees. Over the past five years, Québec has emerged as one of the leading provinces in Canada in terms of accepting a significant number of refugees and is committed to offering respect, equality, and protection to the people who are displaced, persecuted or in danger including refugee girls and young women. The conditions of refugees in Québec can vary widely depending on various factors such as their legal status, access to services, and individual circumstances and the province has implemented initiatives to assist refugees in finding housing, accessing education, and securing employment opportunities. However, there are few programs for adolescent refugee girls and young women. For instance, while a large number of non-profit organizations (NGOs) in the province support the resettlement and integration of refugees, the number of programs that target the specific needs and challenges of adolescent girls and young women is limited. This study examines the resettlement experiences of girls and young women with refugee backgrounds in Québec. The broad question that guides this study is: How do adolescent refugee girls and young women experience resettlement? To achieve this goal, the study has three main objectives. Firstly, it seeks to gain insights into the issues affecting adolescent refugee girls’ well-being. Secondly, it utilizes photovoice, as a research tool, to examine their lived experiences and concerns, amplifying their voices. Lastly, it explores the participatory aspect of photovoice beyond data collection by involving the participants in the data analysis process. Situated within the framework of Girlhood Studies, this research aims to provide valuable insights into the lives of girls and young women with refugee backgrounds. The fieldwork involved nine adolescent girls and young women from Haiti, Venezuela, Congo, and Brazil. The participants were resettled in Québec as refugees between 2017 and 2020. As its methodological approach, the study employed qualitative techniques, including photovoice and individual interviews. The study findings unveiled a range of challenges experienced by the girls in their daily lives in Québec, including experiences of discrimination, mental health issues, financial challenges, and the complexity of integration. By shedding light on the unique experiences and challenges faced by this specific population, this study emphasizes the significance of adopting girl-centred approaches and engaging in participatory research methods to better understand and address the needs of adolescent refugee girls and young women, separate from the category of women or youth more broadly. The insights gained from this study have implications for developing theory, practices, and policies that can effectively support the resettlement and successful integration of refugee girls and young women into Québec society and other refugee destinations

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.839
GPT teacher head0.662
Teacher spread0.178 · 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
Published2023
Admission routes1
Has abstractyes

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