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Record W4321596181 · doi:10.1080/13648470.2023.2180258

‘Only parents can understand the problems and needs of children with thalassaemia’: parental activism for thalassaemia care in Northern India

2023· article· en· W4321596181 on OpenAlexfundno aff
Maya Unnithan, Chhaya Pachauli, Sangeeta Chattoo, Karl Atkin

Bibliographic record

VenueAnthropology and Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsnot available
FundersEconomic and Social Research CouncilUniversity of SussexYork UniversityJohns Hopkins University
KeywordsSocialityKinshipDiversity (politics)RealisationBlood DisorderPsychologySociologyMedicinePolitical scienceBiologyLaw

Abstract

fetched live from OpenAlex

Evolving knowledge of genetics and improved clinical care have re-shaped life choices for those suffering from chronic, incurable conditions and their families. Yet the realisation of care requires complex navigation to access vital therapies which is often difficult for individuals or their family carers. In the article, we explore the struggles and strategies of parents of children with thalassemia (a genetically inherited blood disorder) in a North Indian city, who have come together to ensure better long-term health of their children. A focus on the ways in which families come together and remain apart in their quest for guaranteed access to life-saving substances such as filtered blood, provides insight into the diversity of bio-social strategies at work. It is not only family relationships and kinship, we suggest, but bio-sociality itself which is reshaped with the advent of new rights-based languages, evolving therapies and state support which hold out new possibilities for young people with thalassemia to live as normal a life-course as possible.

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 score0.186
Threshold uncertainty score0.686

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 studies0.0000.002
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 head0.013
GPT teacher head0.275
Teacher spread0.262 · 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

Citations6
Published2023
Admission routes1
Has abstractyes

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