<i>F</i> <i>ST</i> between haploids and diploids in species with discrete ploidy phases
Bibliographic record
Abstract
Many organisms alternate between distinct haploid and diploid phases, which generates population structure according to ploidy level. In this research, we consider a haploid-diploid population using statistical approaches developed for spatially subdivided populations, where haploids represent one "patch" and diploids another "patch." In species with alternating generations, sexual reproduction causes movement from diploids to haploids (by meiosis with recombination) and from haploids to diploids (by syngamy). Thus, an allele in one ploidy phase can be said to "migrate" to the other ploidy phase by sexual reproduction and to "remain" in the same ploidy phase by asexual reproduction. By analyzing a coalescent model of the probability of identity by descent and by state for a haploid-diploid system, we define FST-like measures of differentiation between haploids and diploids and show that these measures can be simplified as a function of the extent of sexuality in each ploidy phase. We conduct simulations with an infinite-alleles model and discuss a method for estimating the degree of effective sexuality from genetic data sets that use the observed FST measures of haploid-diploid species.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".