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Record W4393230413 · doi:10.1080/17518423.2024.2331455

Move&Connect-Youth: A Virtual Group Intervention for Youth Experiencing Persisting Symptoms After Concussion

2023· article· en· W4393230413 on OpenAlexafffund
Shannon E. Scratch, Kylie D. Mallory, Hiba Al-Hakeem, Andrew Lovell, Kim Moody, Brendan Lam, Lindsay Brazill, Patricia Knapp, Andrea Hickling

Bibliographic record

VenueDevelopmental Neurorehabilitation · 2023
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of WindsorHolland Bloorview Kids Rehabilitation HospitalToronto Rehabilitation InstituteUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsPsychoeducationIntervention (counseling)PsychologyConcussionRehabilitationClinical psychologyPhysical therapyMedicinePoison controlInjury preventionPsychiatryMedical emergency

Abstract

fetched live from OpenAlex

Move&Connect-Youth (M&C-Y) is an interdisciplinary virtual group intervention for youth experiencing persisting symptoms after concussion (PSAC) that includes psychoeducation, active rehabilitation, and goal-setting. Using an intervention mapping framework, this paper describes the iterative development of M&C-Y and findings from initial feasibility testing. Ten youth participated in M&C-Y completing pre-intervention demographic questionnaires and semi-structured exit interviews to understand participants’ experience and gather feedback. M&C-Y was feasible based on apriori criteria and findings from interviews provided insights related to: (1) intervention structure, (2) intervention engagement, and (3) intervention takeaways. M&C-Y is a meaningful, feasible, and engaging intervention for youth with PSAC.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.636
Threshold uncertainty score0.881

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0000.000
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 head0.074
GPT teacher head0.336
Teacher spread0.263 · 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 designObservational
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

Citations3
Published2023
Admission routes2
Has abstractyes

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