Meta-data and raw dataset collected during observations of several species of local birds from two distinct geographical locations
Bibliographic record
Abstract
The following meta-data is defined for the values seen in the raw dataset. Rep: replication, which is defined as the unique group of animal(s) observed, based on the differences in time and location of observation. Date: specifies the calendar date (given as DD/MM/YYYY) of the observation of the bird species for that replication. Researcher: the initials of the observer Time: the exact time stamp when observation of the replication was first initiated. This is given in 24-hour format. Duration: the duration of the observation for the replication. Region: the general geographic location where observations were collected. All observations were made on the Gardenbrook Trail in Brampton, ON. Location: the specific area within the general region where observation were made. The two locations where observations were collected were Castleoaks Lake and Bellchase Lake. Species: the common name of the taxonomic bird species seen during observation. Bird species were identified based on distinct morphological characteristics. The Merlin Bird ID app as well as an open source website titles “Toronto Wildlife” were used to reference the species of birds. Frequency: defined as the number of individuals from a specific species of bird seen during observation session for that replication. Behavior: defined as the general term describing the actions of the individuals of a species of bird as seen during observation (which includes but is not limited to feeding, swimming, flying, etc.)
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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.022 |
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".