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Record W2342625880

Cultural Competency: An Individual or Institutional Responsibility?

2007· article· en· W2342625880 on OpenAlexaboutno aff
Wanda Thomas Bernard, Jemell Moriah

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupMulticulturalismCultural competenceCultural diversityPolitical sciencePublic relationsRacismSociologyImmigrationGender studiesEconomic growthLaw
DOInot available

Abstract

fetched live from OpenAlex

AlTHOUGH the presence of African people in Nova Scotia dates back to the early 1600s (Pachai 1987), they continue to struggle for the most basic rights, including the right to culturally competent services (Etowa, Bernard, Clow & Oyinsan, in press). The recent recognition of Canada's multicultural reality is the result of significant demographic changes that have seen a substantial increase of various ethnic groups in cities and towns across the nation, changing the very fabric of Canadian society. The effects of these demographic changes are being felt throughout Canada and the Western world as a whole, as many organizations, including those that provide human services, are continually being challenged to deliver services that are appropriate and relevant to diverse groups. Schools of social work across the country have been challenged, encouraged, and supported in their efforts to address issues of culture, ethnicity, and race since the early 1990s (Christensen 1991; Zamparo, Bernard, Seebaran, Blum, Razack & DuBois, 2000). Providing culturally relevant and competent services continues to be one of the greatest challenges facing social workers in the 21st century. We posit that the need to become culturally competent in multicultural service delivery should not only focus on recent immigrants, however, but also on those people of African descent who have been here for centuries. Furthermore, we suggest that the definition of cultural competence must be expanded to include exploration of issues of oppression, power, and privilege and how these contribute to the helping relationship when culturally relevant and competent services are being delivered.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.691
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.093
GPT teacher head0.413
Teacher spread0.319 · 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 designNot applicable
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

Citations11
Published2007
Admission routes1
Has abstractyes

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