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Record W2094229596 · doi:10.1177/0883073814533595

International Classification of Functioning, Disability and Health (ICF) as a Framework for Change

2014· review· en· W2094229596 on OpenAlex

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 Child Neurology · 2014
Typereview
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsMcGill University Health CentreMontreal Children's Hospital
Fundersnot available
KeywordsInternational Classification of Functioning, Disability and HealthMedical model of disabilityRehabilitationPsychologyIntellectual disabilityApplied psychologyPsychiatry

Abstract

fetched live from OpenAlex

The International Classification of Functioning, Disability and Health (ICF) utilizes domains of body functions and structures, activities and participation, as well as environmental and personal factors to fully encapsulate the concepts of health and disability. The International Classification of Functioning, Disability and Health provides a rich and holistic understanding of functioning that is particularly valuable in the setting of childhood disability and rehabilitation. With applicability that enhances a nuanced understanding of each child within their family, school, and community, the International Classification of Functioning, Disability and Health also ensures facile and meaningful communication between professionals. Use of the International Classification of Functioning, Disability and Health promotes improved treatment plans for individual children and for larger programmatic decisions. This article demonstrates how the International Classification of Functioning, Disability and Health has reinvented the language and understanding of childhood disability and rehabilitation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.114
GPT teacher head0.411
Teacher spread0.297 · 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