What Comes Next?: Looking Beyond the Clinical to the Vocational
Bibliographic record
Abstract
Vivian Campagna, MSN, RN-BC, CCM, is the Chief Industry Relations Officer for the Commission for Case Manager Certification (CCMC), the first and largest nationally accredited organization that certifies case managers, and a former CCMC Commissioner. She has been active in case management for more than 25 years in independent practice as well as in acute care where she directed case management and social work departments. In her current position with CCMC, she draws on her expertise in the field and passion for certification to establish relationships with organizations that advocate for or promote the services of case management. Karen N. Provine, MS, CCM, CDMS, CRC, LPCC, is a vocational rehabilitation counselor and training consultant in private practice. She has been recognized at the state and national levels as a leader and subject matter expert in the field of vocational rehabilitation. A former CCMC Commissioner, she has chaired numerous committees for the Commission and has been a volunteer committee member and test developer for more than 15 years. Address correspondence to Vivian Campagna, MSN, RN-BC, CCM, Commission for Case Manager Certification, 1120 Route 73, Ste 200, Mount Laurel, NJ 08054 ([email protected]). The authors report no conflicts of interest.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 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 | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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; both teacher heads agree on what is shown here.
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".