Data for L'Allier et al. vervet dispersal paper
Bibliographic record
Abstract
Dispersal Mode: Summary of vervet male transfers between groups at Lake Nabugabo, Uganda, with type and mode of dispersal for 2012-2019.Seasonality: Timing of dispersals and conceptionsTraj_Elo: Difference between power trajectories (slope) of dispersing males before and/or after transferring to the slope (mean+SD) of the group. Sr&RankChange: Sex ratio and dominance rank before (resident group) and after (target group) dispersal for males for whom we have sufficient pre-and post-dispersal data.Hormones: Mean male androgen and glucocorticoid levels at four different times points relative to a given dispersal event (day 0); Baseline before = 61-240 days before dispersal, Dispersal before = 1-60 days before dispersal, Dispersal after = 1-60 days after dispersal, and Baseline after = 61-240 days after dispersal; NAN=not a number.<br><br>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.890 | 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 teacher head, 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".