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Record W1509354306 · doi:10.1177/117718010800400209

Counselling Indigenous Shona People in Zimbabwe: Traditional Practices versus Western Eurocentric Perspectives

2008· article· en· W1509354306 on OpenAlexaff
John Charema, Edward Shizha

Bibliographic record

VenueAlterNative An International Journal of Indigenous Peoples · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican cultural and philosophical studies
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsShonaIndigenousMulticulturalismSociologyModernization theoryArgument (complex analysis)Traditional knowledgeGender studiesDiversity (politics)Social scienceEnvironmental ethicsAnthropologyPedagogyMedicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

This paper explores counselling of the indigenous Shona people and provides an argument for multicultural counselling. The vast majority of the Shona people use both traditional (informal) and modern counselling services. The indigenous approach to counselling tactfully captures the importance of the family and the community as a mode of communication for therapy and moral values. However, the influence of Eurocentric counselling theory, research and practice among the Shona people has demonised and oppressed individuals and groups whose culture lies outside the Eurocentric counselling culture. It might be worthwhile for all community leaders, traditional healers, pastors and counsellors to employ the multicultural approach in order to cater for cultural diversity that has come with ‘modernisation’. This method presents a hopeful strategy of recovering stories, cultural traditions and values that have been effective in the past for dealing with contemporary life in indigenous Shona cultural contexts.

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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.011
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.139
GPT teacher head0.368
Teacher spread0.228 · 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

Citations17
Published2008
Admission routes1
Has abstractyes

Explore more

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