All Roads Lead to Risk: Malaria Threat to Travellers in the Roman World
Bibliographic record
Abstract
L’intérêt récemment suscité par le rôle des pandémies et des épidémies dans l’histoire a mis en lumière les tourments de la malaria dans le monde antique. Aucune étude n’a néanmoins produit jusqu’à maintenant de modèle spatial quant au risque de malaria dans l’antiquité. En outre, la menace de la malaria pour les voyageurs de l’antiquité eux-mêmes et le danger que ces derniers représentaient pour autrui n’ont jamais fait l’objet d’études sérieuses. Pour combler ces lacunes concernant l’application à certains problèmes historiques, l’auteur construit et déploie un modèle du risque de malaria dans le monde romain pour évaluer le risque auquel étaient exposés les voyageurs circulant sur les voies romaines. Le projet est pluridisciplinaire à dessein, puisqu’il met à contribution les ressources techniques des SIG dans l’exercice d’évaluation des sources documentaires textuelles nuancées en vue de la reconstruction historique.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".