Validation du modèle d’intention d’utilisation du paiement mobile en contexte de pandémie de COVID-19
Bibliographic record
Abstract
Le paiement mobile apparait comme une solution idéale dans cette période de lutte mondiale contre la pandémie de COVID-19. Cependant, plus de la moitié des Ivoiriens (soit 53,13 %) continuent d’être réticents à l’utilisation du paiement mobile. Dans cette perspective, cette recherche explore les déterminants de l’utilisation du paiement mobile et de leur influence sur l’intention d’utilisation. L’influence de ces facteurs a été testée à l’aide d’un modèle d’équations structurelles sur un échantillon de 250 Ivoiriens. Les résultats montrent que la confiance et la facilité d’utilisation influencent positivement l’intention des Ivoiriens d’utiliser le paiement mobile. Quant à la sécurité perçue, une bonne perception de la sécurité n’a aucune influence sur l’intention d’utilisation, tandis qu’une mauvaise perception de la sécurité influence négativement l’intention d’utilisation.
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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 | 0.015 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".