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Record W6907698303 · doi:10.25417/uic.22226419

African American Youth's Vocational Rehabilitation Outcomes: Examining Service Characteristics

2022· dissertation· en· W6907698303 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Illinois Chicago · 2022
Typedissertation
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsVocational rehabilitationAfrican americanQuarter (Canadian coin)Vocational educationRehabilitationService (business)Qualitative researchFace (sociological concept)

Abstract

fetched live from OpenAlex

African American (AA) youth with disabilities face significant challenges as they transition to adulthood. Currently, as a group, post-secondary education, employment, and living independently outcomes remain poor. As of 2021, only a quarter of African Americans with disabilities were employed (U.S. Department of Labor, n.d. ). Without the proper connections, and pre-employment transition services, African American youth with disabilities and their families struggle to find adequate support to help meet their post-school outcomes. State vocational rehabilitation (VR) departments are among the top collaborators of transition services and funding for youth with disabilities. The current qualitative investigation explored the experiences of four urban and eight suburban youth with disabilities and their families related to transition services provided by VR. Results indicate that young adults are not accessing available accommodations or completing their programs in post-secondary institutions. Also, youth were gainfully employed in entry-level jobs and did not access many adult services. Implications for collaboration between districts, families, and VR are offered. Suggestions for practice and future research are also provided.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.296
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.029
GPT teacher head0.291
Teacher spread0.262 · 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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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