Graduates with High-Functioning Autism: Perceptions of Academic and Labor Market Adjustment
Bibliographic record
Abstract
This study explores the perceptions of academic and labor market adaptation among graduates with high-functioning Autism Spectrum Disorder (ASD), in comparison to neurotypical counterparts. Contrary to the expected significant differences attributed to the unique challenges associated with ASD, the findings did not indicate major disparities in perceptions of adaptation to both academic settings and labor market entry. The investigation encompassed 134 participants, divided between individuals diagnosed with high-functioning ASD and a control group from the general population, employing self-administered questionnaires to evaluate adaptability perceptions. The absence of anticipated differences suggests that the existing supports within educational and employment contexts may be effectively facilitating the transition for graduates with ASD. The study highlights the importance of inclusive career guidance and job placement services, demonstrating a positive correlation between academic adaptation and labor market preparedness. These results challenge pre-existing notions regarding the ASD experience during critical transitions from higher education to employment, advocating for enhanced policies and practices that accommodate the diverse needs of all graduates.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".