Bibliographic record
Abstract
lEAdErSHIP ProFIlE laron Nelson,* rN, NP, Phd, is clinically trained in the primary care of families, with an emphasis on the care of adolescents.He has practised in various community-based settings, including a local public health STI clinic and correctional facility, and an adolescent health clinic.He was the first African-American man to receive a doctoral degree in nursing from the University of Rochester in May 2010.Dr. Nelson's program of research involves the development of integrated biomedical, behavioural and social/structural interventions for the prevention of HIV and other sexually transmissible infections among socially marginalized groups within African and African Diaspora communities.His current research focuses on understanding how autonomy, supportive counselling strategies, gender-equitable attitudes and the promotion of socio-culturally and developmentally relevant co-parenting can help reduce STI/HIV risk behaviours among non-married adolescent parents in Toronto, Ontario and New York, New York.laron Nelson -Canada's rising Star in Global Health * At the time of this interview, Dr. Nelson announced his imminent departure from the Lawrence S.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.026 | 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".