Low neutral genetic variability in a specialist puffin hunter: the Norwegian Lundehund
Bibliographic record
Abstract
The genetic variability of 125 Norwegian Lundehund and 27 Nova Scotia Duck Tolling Retriever was analysed using a set of 26 microsatellite markers. In Lundehund, the average number of alleles per locus was 1.73, and average observed (H(O)) and expected (H(E)) heterozygosity were 0.07. In Toller, all measures of genetic diversity were much higher than in Lundehund and similar to studies on other dog breeds. The cluster analysis correctly assigned individuals to their respective breed. The low genetic variability in Lundehund was not surprising, given the two strong bottlenecks in the 1940s and the 1960s. The relatedness of Lundehund to other Nordic small spitzes should be investigated in the view of possible outcrossing.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".