Genetic heterogeneity in regional populations of Quebec—Parental lineages in the Gaspe Peninsula
Bibliographic record
Abstract
Stable colonization of the Gaspe Peninsula by Europeans started in the middle of the 18th century at the time of the British conquest of New France. The earliest settlers were Acadians, escaping British deportation policies, followed by Loyalists from the US, who preferred to remain under British rule after the Declaration of Independence. In the 19th century, the developing fishing industry attracted French Canadians from the St. Lawrence Valley and newcomers from Europe including Channel Islanders from Jersey and Guernsey. We analyzed parental lineages of the self-declared descendants of these four groups of settlers by mtDNA D-loop sequencing and Y-chromosome genotyping and compared them with French, British, and Irish samples. Their representation in terms of haplotype frequency classes reveals different signatures of founder effects, such as a loss of rare haplotypes, modification of intermediate frequency haplotypes, reduction in genetic diversity (seen in Acadians), but also enrichment by admixture. Parental lineages correlate with group identity. Descendants of early settlers, Acadians and Loyalists, preserved their identity more than those of French Canadian and Channel Islander "latecomers." Although overall genetic diversity among Gaspesians is comparable with their European source populations, F(ST) analysis indicated their greater differentiation. Distinct settlement history, a limited number of founders and relative genetic isolation contributed to the regionalization of the Quebec gene pool that appears less homogenous than usually anticipated.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".