Spatial Cohesion of Blond Capuchins (Sapajus flavius) in an Atlantic Forest Fragment
Bibliographic record
Abstract
The blond capuchin (Sapajus flavius) is an Endangered species of capuchin monkey largely confined to Atlantic Forest fragments in northeastern Brazil, where dispersal is restricted, and resources are limited. In this thesis, I investigated how the spatial cohesion and group movements of blond capuchins were affected by the conditions of the forest fragment they inhabited. My first manuscript (Chapter 2) focused on forest strata use (for age/sex classes), and group cohesion according to the strata used. My second manuscript (Chapter 3) looked at group movement and leadership in age/sex classes. My study site was a 90 hectare forest fragment located on the border of the states of Paraíba and Pernambuco in Brazil (7°52'85,2"S; 34°96'29,4"O), with a group of ~120 blond capuchins. My collaborators and I collected 633 group scans samples, with 15119 individual observations (October 2021 to July 2022), recording age, sex, location and behaviour of each individual. I found that capuchin use of forest strata varied among age/sex classes, a finding that suggests behavioural adjustments to avoid direct competition in this small fragment. I found that capuchin group movement could be characterized as two waves, with adults in the front wave and juveniles in the back wave, a finding that suggests adults reach preferred foods before juveniles. My work contributes to our understanding of how capuchins use forest fragments and underscores the need for further research in forest fragments to better inform conservation practices for this and other threatened primate species, and the biodiversity of the Atlantic Forests.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".