Development of a tool for the assessment of employment preparedness specifically for persons who are blind or partially sighted
Bibliographic record
Abstract
OBJECTIVE: To develop a psychometric tool to assess preparedness for employment for persons who are blind or visually impaired. PARTICIPANTS: Two hundred and thirty nine working aged adults who are blind or visually impaired. METHODS: The content for this tool was generated through a literature review and through focus groups with successfully employed persons with vision impairments as well as hiring managers and rehabilitation workers of same. Content of the instrument was enhanced through a survey of persons with vision loss, using the draft instrument and through factor analyses of their responses. RESULTS: Factor analyses of participants' responses resulted in 12 scales each of which assessed a different factor related to employment. Scales had good to excellent reliability with the exception of one scale that had acceptable reliability (as measured by Cronbach's Alpha). CONCLUSION: The CNIB TAPE appears to be an effective instrument for assessing preparedness for employment.
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How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".