Bibliographic record
Abstract
The data was collected on 30 September, 2014, at around 4:00 PM. The location was the Danby Woods at the York University Campus (Keele location.) The weather at the time was roughly 18°C. Using the Beaufort Scale, the wind was determined to be calm throughout the experiment.(Source: https://weatherspark.com/averages/28179/9/30/Toronto-Ontario-Canada) For both the Grassland and Woodlot, 10 pans of varying colors were arranged in different layouts (based on color) in a straight line, with 1 feet between them (transect.) The layouts can be seen above. These pans were filled with soapy water to about half way of the pan. The soap allowed the water tension to be reduced, which allowed for insects to drown, as opposed to escape, due to the higher surface tension of water.<br>Pans were allowed to sit for 1 hour, after which they were surveyed for their contents. Data regarding the number of species, the different species of insects and total number of insects were collected.
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) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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".