The Abundance of the Canadian Goldenrod in a Grassland Environment at York University
Bibliographic record
Abstract
Description: This study looks at the abundance of a specific plant species (the Canadian Goldenrod) located in the grassland environment near the Aboretum at York University. Methods: A transect measuring 25 metres was elongated and stretched in a straight line through a random section of the grassland. The Canadian Goldenrod flower was chosen as the target species to be recorded. Starting from one end, an individual moved along the transect looking for any Goldenrod plants that were located within a short distance (about 5cm) of either side of the transect. The individual then recorded the number of each encounter, as well as the distance along the transect each specific plant was located at. This process was done 2 times with the transect in a different location each time for more data. The data was then compiled onto an excel sheet. Hypothesis: The Canadian Goldenrod is likely to be found in groups, close to other plants of the same species. Prediction: The Goldenrod is likely to be found close to other Goldenrods due to variations in the grassland habitat. Where one Goldenrod is able to grow, it is likely that the conditions for its growth have been satisfied, such as optimal sunlight, soil, and enough rainfall. Clumping together would also provide some survival advantages as such as protection against predation or competition from other species. Therefore the Goldenrods existing in a clumped distribution is an optimal method for survival. Metadata: Individual Count - Each time an individual Goldenrod was encountered, it was recorded as a unique individual. Distance Recorded on Transect (m)- Each time an individual was counted, the distance (in metres) it was found along the 25m long transect tape was recorded also.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".