Brain Injury Associations - The Ultimate Safety Net
Bibliographic record
Abstract
The financial costs of brain injury are measured in the hundreds of millions of dollars for medical care rehabilitation and lifelong supports. The public health care dollars for services and rehabilitation for brain injury are being stretched, along with fiscal restraints from private insurers. However, to measure the financial costs of brain injury is one thing but it does not compare to the devastation, losses, heartaches and hardships that happens to an individual and their families. This is immeasurable. In many cases the injuries are invisible and the survivors suffer in silence. What happens when publicly funded services are depleted or when insurance dollars run out? Even if there are services available, are there any free supports available that can compliment client or patient treatment plans? Yes there is! Brain Injury Associations are the Ultimate Safety Net. The Ontario Brain Injury Association has been helping and supporting people living with brain injury for more than 30 years and a number of its programs have been sought out internationally. Programs include Province-wide Peer Support Program (independently evaluated), Province-wide Online Concussion Support, and Caregiver Education, ongoing Research Study (measuring long term outcomes for people living with ABI), 1-800 helpline and personal advocacy. This information will be of benefit to physicians, neurologists, psychologists, social workers, nurses, case managers, legal professionals who are working in the field of brain injury. Furthermore, this session will not only inform what supports and services the Ontario Brain Injury Association provides, but insight and ideas of what can be replicated internationally to further support people living with brain injury and their families.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.009 | 0.012 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.590 | 0.028 |
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".