Vegetation composition of prairie creation, old-field, and meadow sites in Hamilton, Ontario (2020)
Bibliographic record
Abstract
Vegetation composition was surveyed in early June 2020 at five sites in the Hamilton, Ontario region, Canada. Surveys were conducted within fixed 50 x 50 m plots corresponding spatially to standardized bee survey locations sampled between 2014 and 2016. Vegetation was sampled using replicated 1 m2 quadrats randomly selected within each plot, with 15 quadrats per site and 75 quadrats in total. All vascular plants and bryophytes within quadrats were identified to species or morphospecies, and percent cover was estimated using the Pfister cover class scale. Additional plant species observed within survey plots but outside quadrats were also recorded to supplement site level species richness. For data publication, percent cover values are reported as midpoint estimates derived from Pfister cover class bins. The dataset provides standardized site level vegetation composition and structure following the completion of bee sampling and represents realized vegetation state at the time of survey.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".