Genetic literacy and experiential knowledge on sickle cell disease among Canadian- and foreign-born male and female Anglophone and Francophone youth in Canada
Bibliographic record
Abstract
OBJECTIVES: Growing global human mobility raises concerns about impacts on global health, particularly on the prevalence of sickle cell disease. This research unveiled the level of genetic literacy on sickle cell disease of male and female Anglophone and Francophone youth living in Canada. The research responded to questions about whether the type of information about the disease has been more prevalent among the youth's family, friends, acquaintances and school circles, and the influence of such information on shaping the current youth level of genetic literacy on the disease. METHODS: An online survey hosted by a Canadian university (2019/2020) platform was conducted with youth (n=87, aged 16-29) recruited in their natural, social environments in seven Canadian provinces. Data analysis used descriptive statistics and manual qualitative content analysis. RESULTS: Youth, mostly Canadian-born, 71.42 % Francophones and 67.12 % Anglophones, descend from parents who had been born in countries at risk for the disease. Results indicated that experiential knowledge is due to the familiarity with the disease occurrence among family members and acquaintances. Participants did not comment about how academic-gained knowledge could influence their own decision on becoming a parent. CONCLUSIONS: Independently of their country of birth, Canadian youth seem to have unmet information needs: a complex challenge requiring creativity and simplicity to deliver information through attractive media.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".