Bibliographic record
Abstract
Methods: The variables including location, distance, amount of green, red, and yellow seed consumed were recorded in a three week period on October 1st, 8th, and 15th 2015. The species involved small bird species such as sparrows that are native to the York University campus (Keele campus) in Toronto, Canada. The university campus contains plenty of wildlife present in several fields and ponds. Five separate field locations throughout the campus were chosen to collect the data. Bird seed was dyed to create green, red, and yellow seed that was placed into bowls. Each bowl contained 30 grams of seed of a single colour. Bowls were placed at 1, 5, 10, 15, 20 metres away from a tree in each field. A green, red, and yellow bowl was placed (3 bowls) at each distance from the tree to produce 15 bowls at each field. Five fields produced 75 bowls of seed per observation day. The order of the colours at each distance was chosen randomly by choosing a colour from a hat. After observing for 3 hours, the seeds were placed in labelled bags indicating the colour of the seed at the specified distance it was in. The seeds were weighed on a university calibrated scale to measure how much seed remained. The weight of the remaining seed was subtracted from the original weight of 30 g. This difference in amount of seed consumed differs for green, red, and yellow seed indicating a relationship between colour preference and feeding. The amount consumed at each distance also differs indicating a relationship between seed distance from the tree and feeding.
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 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 | 0.001 | 0.002 |
| 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) | 0.003 | 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".