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Record W4288435339 · doi:10.1080/17518423.2022.2099997

Emotional Well-Being of Children and Youth with Severe Motor and Communication Impairment: A Conceptual Understanding

2022· article· en· W4288435339 on OpenAlexaff
Samantha Noyek, T. Claire Davies, Maude Champagne, Beata Batorowicz, Nora Fayed

Bibliographic record

VenueDevelopmental Neurorehabilitation · 2022
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsQueen's University
Fundersnot available
KeywordsPsychologyDevelopmental psychologyQualitative researchClinical psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Children and youth with severe motor and communication impairment (SMCI) have difficulty providing self-expression through typical speech, writing with a paper and pencil, or using a standard keyboard. Their emotional expressions can be missed by peers and novel caregivers. PURPOSE: To describe the indicators and components of emotional experiences for children/youth with SMCI. METHODS: Primary guardians of nine children/youth with SMCI were involved in photo/video data collection and follow-up qualitative interviews. Twenty-one familiar people (e.g., friends, family members, and/or care team) participated in semi-structured qualitative interviews. RESULTS: A conceptual understanding of emotional well-being specific to the population has been developed consisting of nine themes, encompassed by four domains i) Core Attributes, ii) Personal Experiences, iii) Surroundings, iv) Expression and Reception. CONCLUSIONS: Emotional experiences of children/youth with SMCI are diversely expressed. Primary guardian and familiar person insight can be amplified to positively impact care and participation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.006
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.221
Teacher spread0.207 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations4
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueDevelopmental NeurorehabilitationSame topicCerebral Palsy and Movement DisordersFrench-language works237,207