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Record W2560239135 · doi:10.3233/prm-160403

After a child's acquired brain injury (ABI): An ethnographic study of being a parent

2016· article· en· W2560239135 on OpenAlexaffabout
Marghalara Rashid, Helly Goez, Vera Caine, Jerome Y. Yager, Anthony S. Joyce, Amanda S. Newton

Bibliographic record

VenueJournal of Pediatric Rehabilitation Medicine · 2016
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEthnographyAcquired brain injuryPsychologyTraumatic brain injuryDevelopmental psychologySociologyNeurosciencePsychiatryAnthropologyRehabilitation

Abstract

fetched live from OpenAlex

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.

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)0.003
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.051
GPT teacher head0.409
Teacher spread0.358 · 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.

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

Citations5
Published2016
Admission routes2
Has abstractyes

Explore more

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