Stone's Sheep Demographics in the Sulphur / 8 Mile Project Area, Northern British Columbia, Winter 2006/2007
Bibliographic record
Abstract
One of the primary objectives of the S8M Stone's Sheep Project in northern British Columbia was to assess Stone's sheep (Ovis dalli stonei) population size, demographics, and stability, in order to provide a baseline for oil and gas pre-tenure plan management direction. Two population inventories were conducted, in December 2006 and March 2007. The censuses included all areas ≥ 1,400 m (approximate tree line) within the bounds of the S8M Project area. The presence of radio collared ewes enabled a sightability correction factor to be derived and applied to calculate confidence intervals around population estimates using the immigration/emigration joint hypergeometric estimator (IEJHE) in NOREMARK software. The project area is thought to include two populations, referred to as the Sentinel and Stone populations. Sightability varied between populations and censuses, but mean sightability was greatest in December at 83.5% compared to 71.9% in March. The IEJHE population estimate for the Sentinel was 627 (95% CI 532 - 781) sheep. The Stone population was estimated at 545 (95% CI 475 - 648) sheep. Lamb to ewe ratios for all sheep enumerated in the Sentinel and Stone populations were 0.67 and 0.73 respectively in December and 0.64 and 0.51 in March. Density ≥1,400 m in the Sentinel population (0.64 sheep/km 2 ) was approximately one-half that of the Stone population (1.38 sheep/km 2 ) in December and 0.62 sheep/km 2 and 1.00 sheep/km 2 respectively in March. A greater total number of sheep and a greater proportion of marked sheep observed in December suggest that conducting a population survey during the end stage of the rut while sheep are congregated in high elevation alpine ranges may be the best option to obtain a more precise total population estimate, especially if little is known about the population age- sex structure or if the marked sample population is sexually biased.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".