An Effects-Based Assessment of Slimy Sculpin (Cottus cognatus) Populations in Agricultural Regions of Northwestern New Brunswick
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Recently in Atlantic Canada, there has been increased concern associated with potato farming due to an increase in the frequency and magnitude of fish kills downstream of agricultural cultivation activities following major storm events. Over a period of three years (1999–2001), we monitored the population structure and physiological performance of slimy sculpin (Cottus cognatus) within the Little River, located in an intensive potato cultivation region of northwestern New Brunswick. The slimy sculpin, a small-bodied benthic fish, was considered suitable for monitoring due to its natural abundance throughout the system, limited mobility, lack of commercial fishing pressures, and easily measured life history characteristics. Rather than focus on particular agricultural stressors, an effects-based assessment of the fish in the system was conducted to determine whether there were observable and persistent responses of sculpin in the agricultural region. We found that the local population structure at agricultural sites consisted of fewer young-of-the-year sculpin in 2 of 3 fall collections. In comparison with forested reaches, adult sculpin were larger but with smaller gonads, and females had smaller livers, gonads, and fewer and smaller eggs. These biological responses were reduced in the fall of the third year following drier conditions than the previous two years. The effects-based approach successfully demonstrated biological impacts on sculpin both temporally and spatially and therefore the species' potential for studying non-point source impacts in environmental monitoring.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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