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Record W3132330716 · doi:10.1177/2333393621995814

An Ethnographic Study of the Moral Experiences of Children with Cancer in New Delhi, India

2021· article· en· W3132330716 on OpenAlex
Justine M. Behan, Ramandeep Singh Arora, Franco A. Carnevale, Sameer Bakhshi, Bani Bhattacharjee, Argerie Tsimicalis

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

VenueGlobal Qualitative Nursing Research · 2021
Typearticle
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsMcGill UniversityBC Children's Hospital
Fundersnot available
KeywordsEthnographyChildhood cancerParticipant observationNew delhiHealth careHealth professionalsPsychologyNursingMedicineSociologyPolitical scienceCancerSocial science

Abstract

fetched live from OpenAlex

There is a paucity of research examining children's experiences with cancer in India. Childhood ethics is an emerging field, focusing on the moral dimension of children's experiences, to promote children's participation in their health care. A focused ethnography, using a moral experience framework, was conducted to better understand children's participation in decisions, discussions, and actions in three oncology settings in New Delhi, India. We interviewed key informants, retrieved key documents, and conducted semi-structured interviews and participant observations with children. All 22 children demonstrated interest in varying aspects of their cancer care. Certain factors facilitated or impeded their participation. Some children became distressed when they lacked information about their treatment or were not given opportunities to enhance their understanding. The results advance our understanding of the moral experiences of children with cancer in India for healthcare professionals, policy makers, families, and interested others.

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)0.002
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 score0.015
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.212
GPT teacher head0.595
Teacher spread0.383 · 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