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Record W2999445390 · doi:10.2196/15813

A Web-Based Intervention for Youth With Physical Disabilities: Comparing the Role of Mentors in 12- and 4-Week Formats

2020· article· en· W2999445390 on OpenAlexafffundvenue
Sally Lindsay, Elaine Cagliostro

Bibliographic record

VenueJMIR Pediatrics and Parenting · 2020
Typearticle
Languageen
FieldPsychology
TopicMentoring and Academic Development
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalUniversity of Toronto
FundersOntario Ministry of Research and InnovationBloorview Research Institute
KeywordsIntervention (counseling)PsychologyInclusion (mineral)Medical educationQualitative propertyMedicineSocial psychologyComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Youths with physical disabilities face many barriers in society, including social exclusion, stigma, and difficulties finding employment. Electronic mentoring (e-mentoring) offers a promising opportunity for youths with disabilities and has the potential to improve their inclusion while enhancing career outcomes. However, little is known about the role of mentors in a Web-based e-mentoring format to improve employment outcomes. OBJECTIVE: This study aimed to explore the role of mentors in engaging youths in an e-mentoring intervention and to compare and contrast mentors' engagement strategies within a 12- and 4-week format. METHODS: This paper drew on a pilot feasibility study, which is a group, Web-based employment readiness intervention involving a discussion forum for youths with physical disabilities. Our intervention involved having trained youth mentors (ie, near-peers who also had a disability) lead Web-based discussion forums while offering peer support and resources, which involved 12 modules completed over both a 12- or 4-week format. We used a mixed method approach including qualitative data (mentor interviews and discussion forum data) and quantitative data (pre-post survey data) comparison. RESULTS: A total of 24 youths participated across 3 e-mentoring intervention groups: 9 in the 12-week format (mean age 17.7 years [SD 1.7]) and 15 in the 4-week format (mean age 19.5 years [SD 2.6]), led by 3 trained youth mentors with disabilities, 2 males and 1 female (mean age 22 years [SD 2.64]). Our findings revealed that mentors engaged youths in the e-mentoring program by providing informational, emotional, and tangible support. We noted more instances of mentors providing advice, empathy, and encouragement in the 12-week format compared with the 4-week format. We also found fewer examples of providing advice, developing a rapport, and social support from mentors in the 4-week format. Our findings revealed no significant differences between the 2 groups regarding time spent in the forum, number of logins, number of posts, and self-rated engagement. CONCLUSIONS: Mentors in the 12-week and 4-week format engaged participants differently in providing informational and emotional support, although there were no differences in tangible support provided. Mentors reported that the 12-week format was too long and lacked interaction between participants, whereas the 4-week format felt rushed and had fewer detailed responses from mentees. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/resprot.8034.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.044
GPT teacher head0.304
Teacher spread0.260 · 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 designNon-randomized trial
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

Citations8
Published2020
Admission routes3
Has abstractyes

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