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Record W3039519773 · doi:10.19108/koers.85.1.2464

Building resilient communities in the midst of shame, guilt, fear, witchcraft, and HIV/AIDS

2020· article· en· W3039519773 on OpenAlexaff
P.J. Buys

Bibliographic record

VenueKoers - Bulletin for Christian Scholarship · 2020
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsScience North
Fundersnot available
KeywordsShameGospelIntervention (counseling)PsychologyHuman immunodeficiency virus (HIV)VictorySocial psychologySociologyCriminologyGender studiesPolitical scienceMedicinePsychiatryLawImmunologyTheologyPhilosophyPolitics

Abstract

fetched live from OpenAlex

One of the most challenging issues in dealing with HIV/AIDS is breaking through the stigmas surrounding the disease and building resilience in communities where large numbers of people are infected with and affected by the HIV pandemic. This article explores the relationship between shame, fear, guilt, witchcraft and HIV/AIDS stigmatization with specific reference to a rural community in South Africa. This will be done by looking at key features of the African Traditional worldview and culture. Predominant witchcraft beliefs and how it manifests in community attitudes towards PLWA as we have observed it over a period of 10 years in the KwaNdebele region will be pointed out. The influence of prevailing beliefs in witchcraft and the way it aggravates the experience of fear, shame, and suffering of stigmatization by people infected and affected by HIV will also be highlighted. Approaches to Christian HIV/AIDS counselling and intervention have to be contextualised to be culturally sensitive and relevant. At the same time, the article wants to stress that a Christian approach to HIV/AIDS intervention may be enriched and become more holistic when the aspects of the Christian Gospel dealing with God’s merciful covering of the shame of his children and Christ’s victory over and disarmament of all evil spiritual powers and authorities are believed and embraced.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score0.734

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
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 science0.0010.000
Research integrity0.0000.002
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 head0.144
GPT teacher head0.409
Teacher spread0.264 · 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 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

Citations5
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueKoers - Bulletin for Christian ScholarshipSame topicAdolescent Sexual and Reproductive HealthFrench-language works237,207