Brain Injury in Manitoba (BIMb; 2022-2024) project: Project phase 1 stakeholder report & recommendations
Bibliographic record
Abstract
Acquired brain injury (ABI) is one of the largest diagnostic groups and leading causes of disability around the world, including in Manitoba. Brain injury can affect any area of a person’s functioning, including cognitive/thinking, emotional/mental health, physical, immunological, and behavioral functioning. Due to the widespread effects, ABI can also then change any area of life including family life, housing, employment, leisure transportation, and community participation, with changes often lasting a long time and for many are lifelong changes. These long-term challenges are strongly associated with many detrimental consequences, especially when needs are not met. This includes high rates of homelessness and secondary health concerns. Thus, changes after ABI can create challenging situations for not only the person but also for their families, close others, and communities. Of concern to all citizens, these unmet needs after ABI are costly and have negative effects not just on those directly impacted by ABI, but to all society. In Manitoba people living with ABI, their families, and their close others have many unmet needs directly related to ABI. Brain injury supports and services are chronically underfunded to meet the immediate and long-term needs of ABI-survivors (those living with brain injury), and since the COIVD-19 pandemic ABI supports and services have declines. Of great concern, there lacks a strategy in Manitoba of how to meet the needs of people affected by ABI. While in Canada a bill is progressing through the federal government (i.e., Bill C-277: A national strategy on brain injury), we do not have information on what an effective strategy for brain injury in Manitoba should be. Therefore, we developed the Brain Injury in Manitoba (BIMb) project, and to do this project we formed a diverse and multi-disciplinary project team of people with lived, work, and research-related ABI experience. The goal of the BIMb project is to develop a unified understanding, focus, and recommendations for innovative action, research, advocacy, and policy change that will improve the supports, services, and the quality of life of Manitobans living with ABI. We have addressed our project goal in the Winnipeg region, which was Phase 1 of the BIMb project and is the focus of this report.
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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 | 0.033 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.006 | 0.009 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.032 | 0.007 |
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".