The Ecology of Mating and Its Evolutionary Consequences in Seed Plants
Bibliographic record
Abstract
Mating in seed plants arises from interactions between plant traits and the environmental and demographic context in which individuals reside. These interactions commonly cause nonrandom mating, including selfing and promiscuous outcrossing within local neighborhoods. Shared features of seed plants, specifically immobility, hermaphroditism, and modularity, shape the essential character of mating mediated by animals, wind, and water. In addition, diverse floral strategies promote cross- and self-mating, depending on environmental circumstances. Extrinsic ecological factors influence all stages of the mating process—pollination, pollen-tube growth, ovule fertilization—as well as seed development, determining offspring quantity and quality. Traditionally, measures of plant mating systems have focused on a single axis of variation, the maternal outcrossing rate. Instead, we argue for an expanded perspective encompassing mating portfolios, which include all offspring to which individuals contribute genetically as maternal or paternal parents. This approach should expose key ecological determinants of mating-system variation and their evolutionary consequences.
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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 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".