Development and delivery of a distance education disability management course
Bibliographic record
Abstract
Disability Claims Management (OCHS 9), in hopes of attracting those working and/or studying in both the Business and Health domains , in the end, it was Occupational Health Nurses who enrolled.Despite this experience, the College maintained an open mind on the idea of designing this course for a broader based audience.As discussed and supported later, the end result was in fact a course developed exclusively for those working and/or studying in the field of Occupational Health Nursing.With regard to the reference text, the Occupational Health Nursing Program Director requested the course text be Disability Management Theory, Strategy, and Industry Practice (Dyck, 2002), the primary reason being that it is used and referenced by the Canadian Nurses Association in preparation for the Occupational Health Nursing certification exam.Based on my familiarity with this text, and use of it in my own coursework, I felt it would be well suited for this course.It provides not only an excellent framework and current status of disability management in Canada, but offers practical examples of theory application in the workplace and strategies in program implementation.In addition, I felt it would be relevant to a variety of disciplines working in the field of Disability Management.With a strong professional desire to emphasize the role of the Disability Management Professional in advocating disability related employee rights and facilitating accommodation initiatives, I also suggested The Human Resource Guide to The Duty to Accommodate (Humphrey, 2002), as a secondary text for this course.The College agreed that this text would be appropriate and appreciated its Canadian focus and relevance to distance education students nationwide.With regard to my desire to include journal articles as required course readings, the College was supportive.Although they held copyright privileges for the Ontario Occupational Health Nurses Journal and the American Association of Occupational Health Nurses Journal, they communicated a willingness to obtain copyright privileges on other journals should this be necessary.The Unionized Workplace Communicating and Working with Unions Fostering Improved Labour-Management Support for Disability Management Labour-Management Cooperation and Collaboration in Disability Management Avoiding Common Pitfalls in Working with Unions Union role in Accommodation RTW-Part I
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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 | 0.002 | 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".