Moral experiences of children with medical complexity: A participatory hermeneutic ethnography in Brazil
Bibliographic record
Abstract
Children with medical complexity have been defined within the literature as chronically ill and medically fragile children with complex care needs. Care for these children raises significant ethical and moral considerations. Therefore, this participatory ethnographic study conducted with eight children and their families aimed to better understand the moral experiences of children with medical complexity, based on views of children as moral agents and capable of understanding and expressing interpretations about their lived experiences. Through our participatory hermeneutical ethnographic research, we were able to shed light on how children with medical complexity express their moral experiences within a complex sociopolitical context, perpetuating dominant outlooks on what is considered a "normal" child. Children with medical complexity described their resistance to these dominant views as they strive to be included in discussions about matters that affect them, reacting to painful medical procedures and treatments, and expressing their concerns about their future aspirations. The knowledge advanced by this study about moral experiences of children with medical complexity can inform understandings of children's interests based on their own interpretations within complex sociopolitical contexts that value their lives differently.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.013 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".