MétaCan
Menu
Back to cohort
Record W3096601448 · doi:10.1080/10522158.2020.1819499

Justifying a dedicated role for family therapy in pediatric neurorehabilitation

2020· article· en· W3096601448 on OpenAlex
Jeffrey McCrossin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Family Social Work · 2020
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsNeurorehabilitationPsychological interventionFamily therapyRehabilitationHealth careSocial workPsychologyLimitingMedicineNursingPsychotherapistPhysical therapy

Abstract

fetched live from OpenAlex

Traumatic brain injury (TBI) in pediatric populations affects the entire family yet neurorehabilitation is often centered on the individual needs of the child. This article provides an overview of select theory, models of family assessment and health care, and family interventions relevant to the family social worker in the field of pediatric rehabilitation. The intention of the author is to encourage family social workers to apply their expertise in a medical setting without limiting their role in attending to instrumental needs of the patient. The role of the Medical Family Therapist is presented as an emerging profession dedicated to applying family theory, models, and interventions by attending to the needs of the whole family affected by TBI, as well facilitating relationships between families and healthcare teams.

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.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.246
Threshold uncertainty score0.587

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.125
GPT teacher head0.393
Teacher spread0.269 · 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