A Method to Assess Work Task Preferences
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
Persons with intellectual disability may encounter difficulties in making choices and expressing preferences because of restricted communication skills or a tendency to acquiesce. In addition, many studies provide evidence that these persons have less opportunity to make choices and express their preferences. The aim of this study was to conduct a field test of an innovative method to assess vocational preferences using choice and task completion observations. Sixteen educators were trained to use this method. They were recruited through local developmental disability agencies specializing in services for persons with intellectual disability in the Province of Quebec (Canada). Nineteen persons with intellectual disability were assessed. Occurrences of four types of behaviors (choice, refusal, positive emotional and off-task behaviors), as well as length of time spent working on the task, were computed to determine levels of preferences. Interviews were conducted with the educators to collect their perceptions regarding the effectiveness and usefulness of the method as a measure of its value in use. Results suggest that this method is useful to assess vocational preferences with persons with intellectual disability. Interviews conducted with educators reveal a high satisfaction with the method. Vocational preferences assessment should rely on frequency of choices, as other behaviors previously considered as expressing preferences are not reliable. This study also provides further evidence that proxy opinions may differ from one's actual preferences.
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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 | 0.001 | 0.001 |
| 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) | 0.001 | 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