Bibliographic record
Abstract
Marcy Tigerman, MS, CRC, CDMS, CCM, CLCP, CBIS received her MS in Rehabilitation Counseling from the University of Arizona. She has been a Vocational Rehabilitation counselor and disability case manager for 30 years, specializing in workers' compensation and traumatic brain injury. In 1981, she went to work for the State Compensation Fund of Arizona, now known as SCF Arizona. Retiring from SCF in 2007, Ms. Tigerman now provides Clinical Coordination and community reentry services for Rehab Without Walls, as part of their Home and Community Brain Injury treatment program. She also provides case management services for a variety of referral sources and offers expert opinions regarding pre- and postearning capacity in personal injury case. She holds certifications in Life Care Planning, Disability Management Services, and Case Management and is a certified rehabilitation counselor and certified brain injury specialist. Address correspondence to Marcy Tigerman, MS, CRC, CDMS, CCM, CLCP, CBIS ([email protected]). The author reports 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 | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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; 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".