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Record W177818708 · doi:10.18357/ijcyfs44201312693

STIGMATISING ATTITUDES TOWARDS PEERS WITH SICKLE CELL DISEASE AMONG SECONDARY SCHOOL STUDENTS IN NIGERIA

2013· article· en· W177818708 on OpenAlexvenueno aff
Bolanle Ola, Rotimi Coker, Cornelius Ani

Bibliographic record

VenueInternational Journal of Child Youth and Family Studies · 2013
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsDiseasePsychological interventionMedicinePositive attitudeScale (ratio)PsychologyPsychiatryInternal medicineSocial psychology

Abstract

fetched live from OpenAlex

Sickle cell disease (SCD) is a serious genetic blood disorder experienced by many young people in Nigeria, but the attitudes of students to peers with SCD is scarcely studied. We explored the stigmatising attitudes towards SCD among 370 secondary school students in Nigeria. The students completed questionnaires on attitude to SCD based on a modified Bogardus scale. A significant proportion of the students endorsed negative attitudes towards peers with SCD and showed poor knowledge of the condition. For example, only 41% thought most students would invite a peer with SCD to their birthday party; only 43% thought most students would like to study together with a peer with SCD; 30% believed spiritual and traditional healers can cure SCD; 11% believed that SCD is caused by evil spirits; 15% believed it can be caused by bad food; and 9% thought it is infectious. Regression analysis identified as significant predictors of negative attitudes these two factors: (a) having less personal contact with people affected by SCD, and (b) the belief that people with SCD cannot lead a normal life. Interventions to reduce negative attitudes towards victims of SCD among school children in Nigeria should include more exposure to people with SCD and positive information to challenge nihilistic beliefs about the condition.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.009
GPT teacher head0.266
Teacher spread0.257 · 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 designObservational
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

Citations16
Published2013
Admission routes1
Has abstractyes

Explore more

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