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Record W4400216628 · doi:10.1080/09515070.2024.2373472

Vicarious resilience in ethnic identity among BIPOC counsellors and psychotherapists working with attempted genocide survivors

2024· article· en· W4400216628 on OpenAlexaff
Mikaela Burgos Cando, Noorfarah Merali

Bibliographic record

VenueCounselling Psychology Quarterly · 2024
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEthnic groupPsychologyGenocideIdentity (music)Psychological resiliencePsychotherapistSociologyAnthropologyArt

Abstract

fetched live from OpenAlex

BIPOC counsellors and psychotherapists share experiences of identity threats their clients of color face. Refugee attempted genocide survivors have faced the most severe identity threats: persecution of their entire ethnic group, yet they have demonstrated remarkable resilience. Vicarious resilience occurs when client resilience following trauma or adversity is transferred onto the counsellor. The purpose of this qualitative study was to examine vicarious resilience in ethnic identity development among BIPOC counsellors who recently worked with a resilient refugee attempted genocide survivor. Five counsellors who were racial/ethnic minority group members participated in semi-structured interviews analyzed via thematic analysis. The counsellors were emotionally activated by the intersections between their own and their clients’ identities, forcing them to face and embrace their ethnic selves, and recognize cultural strengths and values that can function as “Roots of Survival”. Changes in professional practice were also reported, involving empowering clients to further develop their own identities, and engaging in psychoeducation and advocacy related to oppression.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.669
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.033
GPT teacher head0.350
Teacher spread0.317 · 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 designObservational
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 routes1
Has abstractyes

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