Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Despite snow and ice storms which forced postponement of several counts and prevented participation by a number of birders, all 14 counts which were held last winter took place again this winter. The total number of species (131) was two more than last year's 129, and the total number of individuals was 177,590, down some 30,000. Waterfowl numbers were about normal. Canada Goose numbers were down 16,000 from last year, but this is a number which fluctuates on that scale from year to year. Northern Pintails are becoming more abundant on Christmas Counts. Their tallies in the early 1990s were in the single digits, last year's count was 96, and this year 146 were counted, highest since 157 in 1966. Great Blue Herons hit an all-time high this year with 42 tallied, 14 of those on the Lincoln count. Likewise Northern Harriers were counted in record numbers this year: 106 was this year's count and the previous high was 103 in 1994. Red-tailed Hawks have been increasing during every decade since the 1960s. The average number seen on Christmas counts in the 1960s was 32, in the 1970s the average was 81, in the 1980s it was 208, in the 1990s it was 250, and from 2000 to 2005 it was 373. This year's count of 542 was an all-time high.
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.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it