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Record W2750160631 · doi:10.1177/0011000017719458

Make It Personal: A Qualitative Investigation of White Counselors’ Multicultural Awareness Development

2017· article· en· W2750160631 on OpenAlex
Shawna Atkins, Marilyn Fitzpatrick, Gauthamie Poolokasingham, Mariane Lebeau, Lisa B. Spanierman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Counseling Psychologist · 2017
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychologyEmpathyTransformative learningCourseworkMulticultural educationCultural competenceMulticulturalismGrounded theoryPersonal developmentQualitative researchPedagogySocial psychologySociologyPsychotherapist

Abstract

fetched live from OpenAlex

In this qualitative research study, we explored the multicultural awareness development of 12 multiculturally adept non-Latino White counselors. Using a grounded theory approach, we found that early personal experience with diversity was the most important contributing factor in developing understanding and empathy for oppression among White counselors. This factor appeared to lay the foundation for an ongoing personal initiative to develop multicultural awareness. Subsequently, counselors tried to maximize what they could learn from their culturally diverse clients, work environments, coursework, supervision, and mentoring opportunities. Their personal initiative also inspired them to persevere despite the difficult emotions and conflict inherent in this developmental process. Results suggest the need to incorporate personally transformative experiences in counselor training and to prepare counselors for the emotional challenges of multicultural awareness development.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.160
GPT teacher head0.442
Teacher spread0.282 · 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