Exploring Caseload Data of Vision Professionals and Their Implications
Bibliographic record
Abstract
Introduction: To determine the current and future needs for teachers of students of visual impairments (TVIs), orientation and mobility (O&M) specialists, and dually certified professionals, information about caseloads is needed. However, few current studies exist that provide this data. Methods: The purpose of the study was to analyze demographic and caseload data gathered from 834 professionals who took part in a larger study. Descriptive and inferential statistics compared caseload size averages based on employment status, role, service delivery model, and region. Results: Minimal caseload differences existed among the regions of the United States, based on mean. Average caseload sizes by role reflected past literature. Caseloads ranged between 0 and 107 students, once outliers were removed. Discussion: This study provides some new data that provide insight into current caseloads, but a more expansive study would further contribute to the understanding of service provision for students with visual impairments. Implications for Practitioners: The field of visual impairment should continue to work toward recruiting a more diverse workforce and continue advocacy efforts for reasonable workloads and equitable services for students with visual impairments.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".