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Record W3045044728 · doi:10.3390/educsci10080193

Closing the HIV and AIDS “Information Gap” Between Children and Parents: An Exploration of Makerspaces in a Ugandan Primary School

2020· article· en· W3045044728 on OpenAlexafffund
Maureen Kendrick, Elizabeth Namazzi, Ava Becker-Zayas, Esther Nancy Tibwamulala

Bibliographic record

VenueEducation Sciences · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsExhibitionPremiseClosing (real estate)Human immunodeficiency virus (HIV)PsychologyMedicineFamily medicineVisual artsPolitical science

Abstract

fetched live from OpenAlex

In this study, we address the research question: “How might child-created billboards about HIV and AIDS help facilitate more open discussions between parents and children?" The premise of our study is that there may be considerable potential for using multimodal forms of representation in makerspaces with young children to create more open dialogue with parents about culturally sensitive information. Drawing on multimodal literacies and visual methodologies, we designed a makerspace in a grade 5 classroom (with students aged 9–10) in a Ugandan residential primary school. Our makerspace included soliciting students’ knowledge about HIV and AIDS as part of a class discussion focused on billboards in the local community and providing art materials for students to explore their understandings of HIV and AIDS through the creation of billboards as public service announcements. Parents were engaged in the work as audience members during a public exhibition at the school. Data sources include the billboards as artifacts, observations within the makerspace, and interviews with parents and children following the public exhibition. The findings show that, for parents and children, the billboards enhanced communication; new understandings about HIV and AIDS were gained; and real-life concerns about HIV and AIDS were made more visible. Although these more open conversations may depend to some degree on family relationships more broadly, we see great potential for makerspaces to serve as a starting point for closing the HIV and AIDS information gap between children and parents.

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 score0.073
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.004
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 head0.062
GPT teacher head0.336
Teacher spread0.274 · 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

Citations5
Published2020
Admission routes2
Has abstractyes

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