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Record W2129567465 · doi:10.1177/0034355211418250

Workers’ Perspectives on Vocational Rehabilitation Services

2011· article· en· W2129567465 on OpenAlexaff
Shannon L. Wagner, Julie M. Wessel, Henry G. Harder

Bibliographic record

VenueRehabilitation Counseling Bulletin · 2011
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsRehabilitationPsychologyProcess (computing)Applied psychologyEmpathyPerspective (graphical)Vocational educationPhoneVocational rehabilitationMedical educationMental healthSupported employmentNursingMedicineSocial psychologyComputer sciencePedagogyPsychotherapistEngineering

Abstract

fetched live from OpenAlex

The purpose of the present study was to consider the vocational rehabilitation (VR) process from the perspective of VR consumers. To better understand the experiences of workers who were injured on the job and participated in VR rehabilitation services, 27 semistructured interviews were completed; 24 were completed face-to-face and 3 were completed over the phone. The present data suggested five primary themes, including expectations, communication, human factors, psychological factors , and reemployment considerations as the most important areas from the workers’ perspectives. Using these themes, recommendations for VR consultant (VRC) practice may be developed. These recommendations include the demonstration of sincere empathy for the consumer and clear communication that allows the client to feel a part of their VR plan/process. It is also recommended that VRCs evaluate and monitor client expectations, openly address barriers, and provide mental health support whenever requested or required. Finally, additional support during the job development process is recommended. In particular, clients desired ample support and communication during the processes of job assessment, job search, and job placement. Finally, clients desired and valued the use of accommodated employment in situations where accommodations would improve their employment outcomes.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.004

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 head0.020
GPT teacher head0.336
Teacher spread0.316 · 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; both teacher heads agree on what is shown here.

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

Citations13
Published2011
Admission routes1
Has abstractyes

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