Tree and shrub seed dispersal in pastures: The importance of rainforest trees outside forest fragments
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Forest recovery in tropical pastures is limited by seed dispersal, mainly because the seed dispersers of woody plants avoid deforested areas. In Los Tuxtlas, Mexico, we fenced in isolated fig trees that had been left to provide shade in pastures. We monitored seed deposition under their canopies over a year and sampled the established vegetation after 3 y. Dispersal distances were estimated for captured seeds and established plants, assuming that the nearest conspecific adult rooted within 75 m of the fig tree was the mother. Seventy tree and shrub species were captured in seed rain, with a cumulative density of 833 seeds·m−2·y−1. After 3 y, 77 species of trees and shrubs had established (density: 4.0 plants·m−2). Seeds < 7 mm in diameter were frequently dispersed over distances greater than 75 m across the pasture. Larger seeds were dispersed over shorter distances and in much lower numbers, but once they had arrived at the isolated fig trees, germination and establishment success was higher tha...
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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 | 0.001 |
| 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 it