The dune race of <i>Vitis riparia</i> in Ontario: Taxonomy, conservation and biogeography
Bibliographic record
Abstract
Although poorly known, the native dune grape, Vitis riparia Michaux var. syrticola (Fernald & Wiegand) Fernald, is a potentially important source of valuable traits for the improvement of cultivated grapes. In order to clarify its taxonomic and conservation status in Ontario and to evaluate ecological and geographic patterns, data were collected from 623 specimens from 10 herbaria. In addition, five plants referable to var. syrticola with densely hairy petioles and five referable to var. riparia with glabrous petioles were cultivated in a greenhouse under uniform mesic conditions. Although the sample was considered reliable, there was no bimodal pattern in the putatively distinctive dense pubescence to support taxonomic recognition of var. syrticola; it may be referred to simply as “the dune race.” Cultivated plants retained their initial pubescence characteristics for 3 consecutive years, suggesting that the character is relatively stable. Plants referable to the dune race with dense pubescence occurred in extremely dry and open natural habitats and occurred significantly more often than expected on shoreline sand dunes of the Great Lakes. In contrast, plants without hair or less pubescent were significantly under-represented in dry habitats and shoreline dunes. While Vitis riparia is widespread in southern Ontario, the pubescent race is restricted and has a predominantly Great-Lakes-shoreline distribution pattern. It has been reported from only 43 locations and is considered vulnerable to decline. Key words: Grape, Vitis, Ontario, germplasm protection, crop relative
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".