Bibliographic record
Abstract
Eighty-six of the 90 submitted Christmas Bird Counts also included Christmas Mammal Counts.Except for 2006, when 85 counts were conducted, this is the fewest since 1996 when 82 were done.The total number of mammals seen or heard (3,563), and total number of species recorded (35) were about normal for the last 10 years.Indian Head had the most species seen or heard with 13; Togo was the runnerup with 10.No new species were added to the all-time count list.However, there were some noteworthy records.American Bison were seen for the second consecutive year at Grasslands National Park.The species was first recorded during the Christmas Mammal Count last year, with records from the park and at Mayview near Prince Albert.Single American Marten recorded during the Prince Albert National Park and Togo counts were only the fourth and fifth in the history of the count.An all-time high count for River Otters was set when 10 were seen during the Prince Albert National Park count.The Fox Squirrel continues to expand its range northward, with one recorded at Kutawagan Lake.Finally, Mountain Lion tracks at Indian Head were of note.For information on participants, weather, coverage, and location of Christmas Mammal Counts see the Christmas Bird Count summary in this issue.Note that mammal counts were conducted at Briercrest and Hepburn, but as no mammals were actually detected, these counts are not included in Table 1.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.084 | 0.027 |
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".