Bibliographic record
Abstract
Origins of CBCs in Tennessee.Trabue (1965) records a history of CBCs in the state.Tennessee's first count was in Knoxville on 25 Dec. 1902.Two additional east Tennessee locations provided early CBCs: Tazewell, Claiborne County in 1909County in and from 1912County in -1915;; and Copperhill, Polk County in 1915.Nashville's CBCs began in 1914, and Memphis CBCs were first run in 1928.These five counts were the only ones conducted in Tennessee prior to 1930 (Trabue 1965).The journal of the TOS, The Migrant, which originated in 1930, has published Tennessee CBCs since 1931, when the 1930 counts (Nashville, Memphis, and Knoxville) were presented in tabular form (Migrant 2: 4-5).Subsequently, interest in Christmas Bird Counts increased dramatically in the state: during the 1930s, 20 new CBCs were added (Trabue 1965).Early years of the Memphis CBC.Upon arriving in Memphis in 1928, the late Ben B. Coffey, Jr. began a substantial and noteworthy amateur career studying and chronicling the local bird-life of west Tennessee, northern Mississippi, and eastern Arkansas.On 25 December 1928, he conducted the first Memphis CBC.The sole observer, he noted 42 species of 1,994 individuals.In 1929 Coffey enlisted four additional observers to assist him in the count.In 1930 he founded the Memphis Chapter of the TOS; since then, the chapter has sponsored the Memphis count.The 1931 Memphis CBC was published in The Migrant the following year (Migrant 3: 7-8).Nevertheless, the 1931 Memphis count does not appear in the database housed at the Audubon website.The deadline for submitting count results to the Audubon Society was 30 December 1931.Unfortunately, Ben Coffey barely missed the deadline, receiving a letter dated 3 January 1932 stating that the count was received too late to include in Bird-Lore.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.003 |
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".