Seasonal variation in the intensity of movements by the estuarine dolphin, Sotalia guianensis (Cetacea: Delphinidae), in the North Bay, Santa Catarina Island
Bibliographic record
Abstract
The resident population of estuarine dolphins (Sotalia guianensis) in the North Bay, Santa Catarina Island, southern Brazil, was studied from September 2001 until July 2003 through periodical boat surveys. Using focal-group and sequential sampling, information such as geographical position and behavioral patterns were registered at 5-minute intervals. All the information collected was insert in a GIS database of the study area. Since patterns of seasonal variation concerning home range and behavior had been established in previous work, we aimed at evaluating the existence of seasonal intensity of movements, therefore strengthening the proposed hypothesis of higher spatial requirements when food resources are low. The daily mean speed of the dolphin’s group was used as an index of the intensity of movements, and its seasonal variation throughout the study period was analyzed. We found a statistically significant seasonal variation in the intensity of movement. The dolphins tended to move more in the cold seasons, in contrast with the hot seasons when the dolphins tended to move less. Thus, previous studies are corroborated, supporting the hypothesis og higher spatial requirements when there are fewer food resources.
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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 | 0.000 |
| 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 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".