Uncertainty, culture and pathways to care in paediatric functional gastrointestinal disorders
Bibliographic record
Abstract
This paper examines how children and families of diverse ethnic backgrounds perceive, understand and treat symptoms related to functional gastrointestinal disorders (FGIDs). It is questioned how different ways of dealing with medical uncertainty (symptoms, diagnosis) may influence treatment pathways. Semi-structured interviews were conducted with 43 children of 38 family groups of immigrant and non-immigrant backgrounds. The analysis takes into account (a) the perceived symptoms; (b) the meaning attributed to them; and (c) the actions taken to relieve them. The social and cultural contexts that permeate these symptoms, meanings and actions were also examined. It is found that, in light of diagnostic and therapeutic uncertainty, non-immigrant families are more likely to consult health professionals. Immigrant families more readily rely upon home remedies, family support and, for some, religious beliefs to temper the uncertainty linked to abdominal pain. Furthermore, non-immigrant children lead a greater quest for legitimacy of their pain at home while most immigrant families place stomach aches in the range of normality. Intracultural variations nuance these findings, as well as family dynamics. It is concluded that different courses of action and family dynamics reveal that uncertainty is dealt with in multiple ways. Family support, the network, and trust in a child's expression of distress are key elements in order to tolerate uncertainty. Lastly, the medical encounter is described as a space permeated with relational uncertainty given the different registers of expression inherent within a cosmopolitan milieu. Narrative practices being an essential dynamic of this encounter, it is questioned whether families' voices are equally heard in these clinical spaces.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".