MétaCan
Menu
Back to cohort
Record W4288084808 · doi:10.1111/jar.13024

‘More together than apart’: The evaluation of a virtual course to improve mental health and well‐being of adults with intellectual disabilities during the <scp>COVID</scp>‐19 pandemic

2022· article· en· W4288084808 on OpenAlex
Laura St. John, Tiziana Volpe, Muhammad Irfan Jiwa, Anna Durbin, Yousef Safar, Fatima Formuli, Anupam Thakur, Johanna Lake, Yona Lunsky

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 Applied Research in Intellectual Disabilities · 2022
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsMental healthAttendancePandemicPsychologyPopulationCoronavirus disease 2019 (COVID-19)Qualitative researchWell-beingClinical psychologyGerontologyPsychiatryMedicineDiseaseEnvironmental healthPsychotherapist

Abstract

fetched live from OpenAlex

BACKGROUND: To address the growing concerns over poor mental health experienced by adults with intellectual disabilities due to the COVID-19 pandemic, a national virtual mental health course was delivered and evaluated. METHODS: This mixed methods study utilized both qualitative and quantitative assessments. Participants were 27 adults with intellectual disabilities who participated in the 6-week course. Participants completed measures of self-efficacy and well-being at three time points and qualitative satisfaction measures at post and follow-up. RESULTS: Attendance was high and the course was feasible and acceptable to participants. Positive changes related to mental health self-efficacy were detected (p = .01), though mental well-being did not improve. CONCLUSION: The study provided evidence for the feasibility and value of the course for this population. Future research should examine how virtual courses could support the population in terms of pandemic recovery and how courses may work for individuals who are less independent.

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)0.015
metaresearch head score (Gemma)0.034
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.079
GPT teacher head0.392
Teacher spread0.313 · 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