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Record W4412081046 · doi:10.17744/mehc.47.3.02

Cultural Case Conceptualizations of Social Anxiety: Bridging Research and Practice With Multicultural Orientation

2025· article· en· W4412081046 on OpenAlexaff
Kristen Zentner, Bryce S. Dueck, Hajin Lee

Bibliographic record

VenueJournal of Mental Health Counseling · 2025
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsWomen's College HospitalUniversity of AlbertaConcordia University of EdmontonUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsBridging (networking)MulticulturalismPsychologyOrientation (vector space)AnxietySocial psychologyPsychotherapistSociologyPedagogyPsychiatry

Abstract

fetched live from OpenAlex

Abstract There are distinct differences in how people experience and express social anxiety across cultures and identities, and consideration of these factors is necessary within the practice and research of counseling psychology. This paper discusses a brief review of literature focusing on cultural identities, including ethnic/racial, gender, and disability identities, and explains how sociocultural factors such as independent/interdependent self-construal and gender role identification shape the experiences and expressions of social anxiety among various subpopulations. In addition to exploring the challenges and opportunities of treating diverse clients, we discuss the applications of the minority stress model and multicultural orientation to case conceptualizations in counseling. These approaches are important for helping counselors understand and integrate their clients’ cultural identities and values into the treatment of social anxiety.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.465

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.056
GPT teacher head0.447
Teacher spread0.391 · 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
Published2025
Admission routes1
Has abstractyes

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