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Record W3206320452 · doi:10.3390/adolescents1040034

School and Employment-Related Barriers for Youth and Young Adults with and without a Disability during the COVID-19 Pandemic in the Greater Toronto Area

2021· article· en· W3206320452 on OpenAlexafffundabout
Sally Lindsay, Hiba Ahmed

Bibliographic record

VenueAdolescents · 2021
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health Research
KeywordsPandemicThematic analysisInternshipVocational educationYoung adultPsychologyCoronavirus disease 2019 (COVID-19)Career PathwaysMental healthWork (physics)GerontologyQualitative researchMedicineSociologyDevelopmental psychologyMedical educationPedagogyPsychiatryDisease

Abstract

fetched live from OpenAlex

Purpose: Youth and young adults are particularly vulnerable to the socio-economic impacts of Coronavirus Disease (COVID-19). The purpose of this study was to explore barriers to school and employment for youth with and without a disability during the pandemic. Methods: This qualitative comparison study involved in-depth interviews with 35 youth and young adults (18 with a disability; 17 without), aged 16–29 (mean age 23). An interpretive, thematic analysis of the transcripts was conducted. Results: Our findings revealed several similarities and some differences between youth and young adults with and without disabilities regarding barriers to school and employment during the COVID-19 pandemic. Key themes related to these barriers involved: (1) difficult transition to online school and working from home (i.e., the expense of setting up a home office, technical challenges, impact on mental health), (2) uncertainty about employment (i.e., under-employment, difficult working conditions, difficulty finding work, disability-related challenges) and (3) missed career development opportunities (i.e., canceled or reduced internships or placements, lack of volunteer opportunities, uncertainties about career pathway, the longer-term impact of the pandemic). Conclusion: Our findings highlight that youth and young adults with disabilities may need further support in engaging in meaningful and accessible vocational activities that align with their career pathway.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.991

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 studies0.0000.000
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 head0.040
GPT teacher head0.350
Teacher spread0.310 · 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

Citations18
Published2021
Admission routes3
Has abstractyes

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