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Record W6990208712

Critically exploring the acculturative journeys of forced immigrant youth and the role YMCA sport programs can play in providing support during re-settlement

2022· dissertation· en· W6990208712 on OpenAlexaboutno aff

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2022
Typedissertation
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsForced migrationRefugeeImmigrationParticipatory action researchContext (archaeology)Displaced personAcculturationQualitative research
DOInot available

Abstract

fetched live from OpenAlex

The number of people worldwide who had been forced to flee their home country at the end of 2019 was 26 million (UNCHR, 2019). Canada has a history of providing a home to those in need and the number of asylum seekers and refugees (i.e., forced immigrants) who have been offered safe haven has steadily increased (GOC, 2018). Forced immigrants arriving in Canada, and other countries of re-settlement, face numerous challenges, including the task of acculturating to a new society. Forced immigrant youth are often the most in need of help, as they are often the ones who suffer the most from conflict. Sport has been recognized as one method of helping newcomers with social integration, but it is not a context that is always free of exclusionary and discriminatory practices. The aim of the project that underpins this dissertation was to use a community based participatory action research (CBPAR) approach to engage forced immigrant youth in the process of bringing about transformative change to sport programs they were involved in so that community sport programs could become more meaningful and inclusive for all participants. The research presented in this dissertation stems from my role in the CBPAR process of working with forced immigrant youth and YMCA settlement staff members to develop a deeper understanding about the meaning of sport in youths’ lives and the way they storied their involvement in community sport programs in Sudbury, Ontario. The research process began with a meta-synthesis of qualitative research conducted with forced immigrants engaged in sport and physical activity from which we drew upon synthesized lessons related to understanding forced immigrants’ acculturative journeys from a critical lens and the importance of psychological and cultural safety during this journey. Arts-based conversational interviews and a collaborative reflexive thematic analysis were used to develop two polyphonic vignettes that (re-)storied the changing meaning of sport in forced immigrant youths’ lives and the role sport played in helping them feel a sense of belonging (or not) in Sudbury. Polyphonic vignettes which featured multiple composite characters were used as the method of sharing forced immigrant youths’ stories so that the anonymity and confidentiality of the youth was preserved, while bringing new co-generated knowledge to a diverse range of audiences in an evocative and engaging manner. The reflexive and interdiscipinary approach to this project enabled me to ensure disciplinary, as well as my own personal, assumptions were not privileged, but rather that I remained open to the insights and directions provided by the community members I worked with. Centralizing forced immigrant youth and YMCA Settlement Services staff members meant knowledge developed through the vignettes was locally relevant and meaningful. Finally, the collaborative process engaged in with forced immigrant youth, YMCA Immigrant Services staff members and academic project team members in the development of the two vignettes was critically examined. Lessons are shared from the twists and turns that defined the research process and led to the development of a community of practice between forced immigrant families and the YMCA that will be sustained beyond the involvement of the academic team.

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)0.011
metaresearch head score (Gemma)0.009
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 score0.041
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0240.018
Scholarly communication0.0120.006
Open science0.0030.012
Research integrity0.0030.007
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 head0.024
GPT teacher head0.252
Teacher spread0.229 · 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
Published2022
Admission routes1
Has abstractyes

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