Understanding Research Participation Experiences Among Persons Identifying as African, Caribbean, and Black in British Columbia
Bibliographic record
Abstract
BACKGROUND: Health research in Canada has insufficiently engaged African, Caribbean, and Black (ACB) people, yielding under-representation of their priorities and unmet health needs. OBJECTIVE: To understand research experiences and priorities among ACB people in British Columbia. METHODS: Cross-sectional data from an online survey was summarized using descriptive statistics. Content analysis was used for open-ended text responses. Data collection and analysis was conducted with ACB community partners. RESULTS: Of 56 respondents, 50.0% were aged 16 to 25 years; 78.6% identified as women. Although only 42.9% had previous research experience, 91.1% were willing to participate. Participation barriers included time constraints (53.1%) and mistrust (30.6%). Facilitators included perceived benefits to ACB individuals/communities (83.9%) and opportunities to share perspective(s) (60.7%). Research priorities included mental health, substance use, and sexual and reproductive health. CONCLUSION: Findings highlight ACB individuals' willingness to participate in health research, while identifying participation barriers and facilitators. Researchers must build trust through anti-racist community engagement efforts.
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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 | 0.019 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.006 |
| 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".