A synthetic indicator based on nesting trend to inform the general public about the status of sea turtle in France and its overseas territories
Bibliographic record
Abstract
France and its overseas territories is hosting 6 species of sea turtles : the leatherback turtle (Dermochelys coriacea), the Loggerhead turtle (Caretta caretta), the green turtle (Chelonia mydas), the Olive Ridley (Lepidochelys olivacea), and the Hawksbill turtle (Eretmochelys imbricata), the Kemp Ridley (Lepidochelys kempii). The first five are observed on nesting sites. Based on SWOT Minimum Standard, the Groupe Tortues Marines France (GTMF) established in 2015 a national monitoring scheme through which all the actors are implementing morning patrols to counts crawls on nesting beaches. Monitoring effort is adapted by actors in the field according to SWOT recommandation optimizing nesting phenology modeling. Data are then analyzed thank to R package Phenology to produce trends taking into account possible shift in nesting effort along time. As nesting activity trends is a proxy of nesting female abundance, trends obtained for each species on every French territory hosting sea turtle nestings are then valorized to inform a synthetic indicator describing the overall trends of adult nesting female in France.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".