Espresso Cup / In front of the Bell Center / Chi non viene / Lettre d'amour
Notice bibliographique
Résumé
Are you sure about this?"She stood at the sink, her back to him.She was looking outside at the children playing in the back yard.They had piled the leaves up high and were taking turns jumping onto the heap.She turned around to look at him."Yes."His lips had barely moved to pronounce the syllable.He sat there motionless, staring at the espresso cup in front of him.She could hear the children's laughter through the closed windows.It would be hard to see the children afterwards, she thought."There must be something that can be done," she said.He was silent."Maybe you should think about it some more?"He did not answer.She waited patiently.There was a long pause.He didn't take his eyes off the empty espresso cup.She'd been serving him espresso in that cup for nearly thirteen years."No," he said.She could barely tell it had come from him.It was a dry, hollow sound.She stared at him, hoping that he would look up.His full head of black hair was beginning to grey and it was thinning out at the back.He had been depressed all summer, but she had hoped he would have come out of it.He always had."There are four kids out there."She forced a smile, but she knew he wouldn't look up.He didn't say anything.She put her palms on the edge of the counter and leaned slightly against the sink, facing him."She's the mother of your children," she said cautiously."Couldn't you make it work?"It came out as a whisper.She knew she was approaching the dangerous zone."Are you listening?"It was the whiny voice he hated.She couldn't help it.die "Well?"She cleared her throat."Have you spoken to her?" NO.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».