Predictors of employment for young adults with developmental motor disabilities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To identify the personal, family, and community factors that facilitate or hinder employment for young adults with developmental motor disabilities. METHODS: Quantitative methods with an embedded qualitative component were used. Seventy-six persons between the ages of 20 and 30 years of age (Mean = 25, SD = 3.1) with a diagnosis of either cerebral palsy or spina bifida completed questionnaires addressing factors such as depression, and participated in a semi-structured interview that allowed participants to describe their experiences with education, employment, transportation, and other services. RESULTS: Almost half of the participants (n = 35) were not currently employed. Hierarchical regression analyses indicated that gender (females were less likely to be employed), IQ (lower IQ associated with unemployment), and transportation dependence accounted for 42% of the variance in employment. Themes emerging from content analysis of the interviews supported the findings related to transportation barriers. Social reactions to disability limited employment opportunities, and participants often felt stuck in terms of employment options with limited opportunities for advancement. CONCLUSIONS: Transportation is a significant barrier to employment and innovative solutions are needed. Issues related to gender need to be considered when addressing employment inequities for persons with primarily motor disabilities.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it