“You Can’t Let Go” – A Black Community Leader’s Perspective on Engagement and Advocacy
Bibliographic record
Abstract
Lanre Tunji-Ajayi is president and CEO of the Sickle Cell Awareness Group of Ontario (SCAGO). This charitable organization focuses on ameliorating the lives of those living with sickle cell disease by providing evidence-based support to patients and supporting clinical and psychosocial research, health promotion and the development of best practice guidelines. Lanre's passion for this work is personal. Following the death of her brother Sunday Afolabi from preventable and treatable complications of sickle cell disease, Lanre immersed herself in advocacy for community health and quality patient care. In this oral history narrative, Lanre reflects on her decades-long journey advocating for those living with sickle cell disease - a disease which disproportionately affects Black people. Her reflections focus acutely on the challenges she has faced in raising awareness and visibility, including through formal public engagement policy processes. Lanre also speaks to the personal costs she has encountered engaging in this advocacy work and the subtle and institutionalized forms of anti-Black racism that have punctuated this already difficult effort to bring about change.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".