Proposition d’une méthode de génération de matrices de flux temporelles issues de l’activité de téléphones mobiles
Bibliographic record
Abstract
Nous présentons une méthode de génération de matrices de flux Origine-Destination réalisée à partir de l’exploitation de traces spatio-temporelles de téléphones portables. La méthode s’appuie sur une procédure de filtrage temporel fondée sur un algorithme de décomposition empirique du signal (Empirical Mode Decomposition) ; elle tient compte de l’hétérogénéité des données liée à une distribution intra urbaine des antennes. La typologie des matrices temporelles générées selon l’activité réelle des utilisateurs (appels et SMS) permet la mise en évidence de profils d’activités de communication propres à des mobilités domicile-travail et cela, en fonction de tranches horaires spécifiques aux jours de la semaine ou du week-end.
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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 | 0.018 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".