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Record W4403832651 · doi:10.1080/13676261.2024.2419081

Young carers in Ghana: caring activities, ways into care and the impacts of caregiving

2024· article· en· W4403832651 on OpenAlex
Mercy Appiah-Akuetteh, Victoria Awortwe, Sania Bilwani, Richard M. Piech

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Youth Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsYork University
Fundersnot available
KeywordsPsychologySociologyDevelopmental psychologyGerontologyMedicine

Abstract

fetched live from OpenAlex

In Ghana, children often provide care and support to family members with disabilities, mental illnesses and other health conditions. Understanding the nature of their caring activities is essential for identifying stressors and promoting better health and wellbeing outcomes for this group of children, described in the wider literature as young carers. This qualitative study investigated the nature and impact of caring activities on young carers aged 11–17 years. The findings revealed that young carers provide domestic, financial, medical and personal care. Caring activities while beneficial, result in a double burden, as young carers often support both the care recipients and their dependents. Despite the challenges associated with caring activities, the study also reveals the myriad reasons young carers enter care work, suggesting that the work of young carers is not simply an obligation or a choice but a process and an integral part of Ghanian family structures. The study highlights the urgent need for formal mechanisms to identify and support young carers and their care recipients in Ghana.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.080
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.035
GPT teacher head0.318
Teacher spread0.284 · 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