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Record W2883140197 · doi:10.1111/cch.12590

The concept of resilience in childhood disability: Does the International Classification of Functioning, Disability and Health help us?

2018· review· en· W2883140197 on OpenAlexafffund
Julia ten Hove, Peter Rosenbaum

Bibliographic record

VenueChild Care Health and Development · 2018
Typereview
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsMcMaster University
FundersMcMaster University
KeywordsContext (archaeology)International Classification of Functioning, Disability and HealthResilience (materials science)MainstreamDynamismPsychologyPsychological resilienceApplied psychologySocial psychologyPolitical scienceGeographyEpistemology

Abstract

fetched live from OpenAlex

BACKGROUND: The concept of resilience is popular in both the mainstream media and in health and human services research. Over the last 40 years, the term has been moulded and transformed from the idea of a trait that can be fostered within the individual towards a transactional concept with an emphasis on environmental factors. Although many current definitions are used to describe and talk about resilience, the dynamism of the concept is a common element across most current discussions and research applications. This paper provides an opportunity to place the concept of resilience within a framework for future application at the clinical frontlines. METHODS: An extensive scoping review on the existing literature was undertaken to explore recurring themes associated with resilience in families and children, particularly in the context of childhood disability. This literature was mapped and categorized in the context of World Health Organization's International Classification of Functioning, Disability and Health (ICF) framework to create recommendations for practical application by health professionals. FINDINGS: Three major themes emerged: (a) the idea of resilience as a state of an individual at a specific point in time rather than a built-in trait; (b) the idea of resilience as dynamic rather than static; and (c) the value of a framework into which to place the components of "resilience." CONCLUSIONS: The relative ease with which resilience concepts is situated within the ICF is an indication that the ICF framework provides a useful way to incorporate concepts of resilience for clinical application.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.950
Threshold uncertainty score0.547

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.050
GPT teacher head0.409
Teacher spread0.359 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreReview

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

Citations14
Published2018
Admission routes2
Has abstractyes

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