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Record W2772525095 · doi:10.3233/wor-172645

School-to-work transition for youth with severe physical disabilities: Stakeholder perspectives

2017· article· en· W2772525095 on OpenAlexaff
Catherine Mlynaryk, Marie Laberge, Monique Martin

Bibliographic record

VenueWork · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsWorkforceOutreachStakeholderGovernment (linguistics)Work (physics)General partnershipPopulationPublic relationsPerceptionQualitative researchMedical educationPsychologyBusinessMedicinePolitical scienceSociologyEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: Multiple challenges await people with severe physical disability when they are preparing to enter the labour market at the end of the school period. OBJECTIVE: This study aims to better understand the multiple factors that influence the course of disabled youth transitioning into the workforce by gathering perceptions from stakeholders. Methods The study used a qualitative descriptive design with an interpretative description approach to analyze the experiences reported by six school staff, six parents, and three employers. RESULTS: Significant facilitators to the workforce transition were the active involvement of the school's staff in multiplying outreach activities between the various external partners. Significant obstacles include the level of help required to complete day-to-day activities at work and student lack of work experience. Government cutbacks were unanimously identified as the prominent obstacle. CONCLUSIONS: The results presented in this study indicate that a successful school to work transition program is dependent on many factors. These factors include the characteristics of the targeted population, the level of involvement from key stakeholders, the willingness of employers to hire this population, as well as program objectives deviating from paid employment. Further development opportunities have proven to be helpful, such as the development of a solid partnership and collaboration between all stakeholders.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.868

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.089
GPT teacher head0.349
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations10
Published2017
Admission routes1
Has abstractyes

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