Instructional Videos to Familiarize Young Autistic Adults With Grocery Tasks With a View to Vocational Integration: From Design to Practicability
Bibliographic record
Abstract
Background Young adults with autism spectrum disorder (ASD) face challenges in obtaining employment. Objective To test the practicality and feasibility of using instructional videos in a community organization involved in vocational rehabilitation and work integration for people with autism. Methods Three methodological steps were achieved: ‘Research-development’, iterative content validation and practicability study. Eleven employees of a grocery store were filmed performing tasks in seven departments. Each video was followed by questions. Four validation phases were carried out with different groups of stakeholders (n = 25). Four autistic youth in a work training organization had tested successfully 6 to 9 instructional videos. Results A man of 26 years old was positive for 6 videos and negative about 3 tasks (Wrapping cheese, Placement of Products in the charcuterie section, Sous-vide). He had no discomfort 67% of the time. What bothers him often were the smell, social contacts and the texture. Twenty-one instructional videos from 2 to 6 min cover fish section(n = 5), fruits and vegetables(n = 2), cash register(n = 2), grocery store display(n = 2), bakery(n = 3), cheese and charcuterie(n = 4) and ready-to-eat(n = 3). Conclusion Education, orientation and job placement service, rehabilitation and community stakeholders can use the response to the questions to target socio-professional interests while providing a space for discussion about future integration into grocery store work.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".