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Record W2164398175 · doi:10.1080/13644360802236466

We are all affected: considering the recovery of HIV/AIDS infected and affected children

2008· article· en· W2164398175 on OpenAlexaff
Carla Nelson

Bibliographic record

VenueInternational Journal of Children s Spirituality · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsUniversity of AlbertaTyndale University College & Seminary
Fundersnot available
KeywordsIgnoranceIsolation (microbiology)Human immunodeficiency virus (HIV)Context (archaeology)Stigma (botany)PandemicPsychologyMedicineSociologyCoronavirus disease 2019 (COVID-19)VirologyHistoryPolitical sciencePsychiatryBiologyDiseaseLawInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

This essay acknowledges that the HIV/AIDS pandemic has created entire communities for whom loss has become a common and a shared experience. As a result of this impact of HIV/AIDS, several questions surface. However, the one question upon which this essay focuses is, ‘What type of environment is required for children infected and affected by HIV/AIDS?’ More specifically, ‘What context can be created by educators and concerned adults for children infected and affected by HIV/AIDS in order to help them recover a glimmer of wholeness and sense of connection again?’ Drawing on eight years of involvement with educator colleagues in several African countries, the article suggests one avenue through which recovery can be encouraged: by giving attention to the environment which teachers and other concerned adults can provide. Such an environment must work against ignorance, stigma and isolation.

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)0.011
metaresearch head score (Gemma)0.015
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: none
Teacher disagreement score0.035
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0350.027
Scholarly communication0.0130.013
Open science0.0040.022
Research integrity0.0090.030
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.292
Teacher spread0.271 · 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

Citations3
Published2008
Admission routes1
Has abstractyes

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