After a child's acquired brain injury (ABI): An ethnographic study of being a parent
Bibliographic record
Abstract
PURPOSE: To explore the meanings associated with being a parent of a child with an aquired brain injury (ABI). METHODS: An ethnographic study was conducted with parents of children aged 3 to 10 years who had acquired a severe brain injury. Purposeful sampling was used to recruit parents from the Glenrose Rehabilitation Hospital in Edmonton, Alberta. Data collection involved participant observation, fieldwork and semi-structured interviews. Field notes and interviews transcriptions were analysed using a thematic analysis framework and informed by symbolic interactionism theory. RESULTS: Six parent dyads (mothers and fathers) and 4 mothers participated in the study.Parents' meanings of `parenting' a child with severe brain injury were shaped by the injury, wide range of familial dynamics, and interactions. Six main themes related to parental meanings emerged from our data: (1) Getting `back to normal'; (2) Relying on a support system; (3) Worrying something bad may happen after the injury; (4) Going through a range of emotions following the injury; (5) Changing family dynamics after the injury; and (6) Ongoing performativity. CONCLUSION: Parents' meanings of `parenting' a child are extensively impacted by their child's functioning after the ABI. Having a greater appreciation of these experiences may be beneficial for medical professionals.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".