Can Palynology be used for Reconstructing the Evolutionary History of Maize Agriculture?
Bibliographic record
Abstract
The lack of archaeological or macrobotanical evidence that directly links wild teosinte grass with early domesticated maize requires the exploration of alternative methodologies to document this evolutionary transition. The morphological characteristics and measurements for maize, teosinte and Tripsacum pollen are presented to determine if they display sufficient differentiation to be distinguished in fossil pollen records. Analysis of the data reveals a lack of distinguishing morphological characteristics between the pollen grains of these taxa and prevents palynology from be an effective method in documenting the evolutionary history of maize agriculture. Current methods of pollen analysis cannot be employed to document the evolution of teosinte to maize in the Tehuacan Valley of Mexico and pollen is not likely to provide an earlier record of this transition than what is found in the macrobotanical or archaeological evidence.
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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 | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".