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Record W3134570723

[Coming from Afar and Rediscovering Oneself: Group Intervention for Immigrant and Refugee Women Having Experienced Violence].

2020· article· en· W3134570723 on OpenAlexaff
Maryse Benoît, Louise Rondeau, Elizabeth Aubin

Bibliographic record

VenuePubMed · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsHealth and Social Services Centre University Institute of Geriatrics of SherbrookeUniversité de Sherbrooke
Fundersnot available
KeywordsRefugeeIntervention (counseling)Psychological interventionPsychosocialDehumanizationImmigrationPsychologyMedicinePolitical scienceNursingPsychotherapist
DOInot available

Abstract

fetched live from OpenAlex

Objectives This paper has a clinical perspective and presents an innovative intervention that could be offered in different institutions and practice environments. The object here is a group intervention addressed specifically to immigrant and refugee women having experienced different forms of violence. The consequences of being exposed to intentional and dehumanizing violence, paired with the challenges associated with migration and forced exile, can fragilize the individuals and challenge their capacity to adapt. Even though psychological and psychosocial support in the years following their arrival could be beneficial, immigrants and refugees rarely use institutional services, and experts point out that the services are not tailored to them. In that respect stems the importance of promoting the development of more meaningful interventions for immigrants and refugees, in accordance with the principle of equity and equality of chances to have access to appropriate services, but also to better equip the specialists by giving them access to safe and culturally sensitive interventions. Following that perspective, a group intervention for immigrants and refugees having experienced violence was created in 2010 with the collaboration of researchers from l'IUPLSSS and social workers from CIUSSS de l'Estrie-Chus. Method Firstly, this article aims to present this group intervention. Innovative features of the proposed program will be highlighted, followed by an overview of the clinical and empirical supports that recommend the use of groups and art to intervene with immigrants and refugees. A more detailed description of the intervention will follow, describing the objectives of the intervention as well as the intervention framework, including some necessary components to assure the therapeutic reach of the groups and the establishment of a safe space. Secondly, the article presents a brief summary of the preliminary results of a current study aiming to evaluate the impacts of the intervention. During this study, qualitative and quantitative data was collected from 3 groups (n = 17) and analyzed with content analysis and non-parametric analyses to measure the changes between pre and post intervention. Results The results of the qualitative and quantitative analyses show that women report positive changes at the end of the group, namely in regard to post-traumatic stress symptoms and different dimensions of their well-being. Conclusion To conclude, the advantages and limits of this intervention will be discussed, but also its relevance for the practice environments. Even if it isn't the only answer for the intervention in a post-violence context, it consists of a good option for providing adapted services to the reality and needs of immigrants and refugees.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.098
GPT teacher head0.393
Teacher spread0.295 · 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
Published2020
Admission routes1
Has abstractyes

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