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Record W4409335590 · doi:10.1111/cch.70080

How the Movie ‘Out of My Mind’ Brings the F‐Words for Child Development to Life

2025· article· en· W4409335590 on OpenAlexaff
Maya Albin

Bibliographic record

VenueChild Care Health and Development · 2025
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPerspective (graphical)PsychologyAdaptation (eye)Cerebral palsyComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

This short communication illustrates how the 2024 movie Out of My Mind, starring a protagonist (Melody) with cerebral palsy, embodies the 'F-words' for child development-the paediatric adaptation of the World Health Organization International Classification of Functioning Disability and Health (ICF). The 'F-words' provide a strengths-based and holistic framework to view childhood development, disability and functioning that can benefit service providers, researchers and families alike. If we want the world to adopt the values of the 'F-words', we must bring these values to the world by applying them outside of academia. This short communication outlines how Out of My Mind illustrates and exemplifies each 'F-words' domain, as well as the interconnectedness with other domains, from the perspective of a speech-language pathologist and PhD student in Rehabilitation Science. Key reflections include the impact of social, attitudinal and physical environments on the protagonist's participation and how Fun and Functioning are shown in the movie's first-person perspective. This short communication also highlights the impact of attitudinal, physical and system-level barriers on participation and can inspire us all to change the way we think to shape the society we aspire towards.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.903
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.019
GPT teacher head0.283
Teacher spread0.264 · 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 designNot applicable
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

Citations1
Published2025
Admission routes1
Has abstractyes

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