Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
Mr. Hernández recalls that sometime during the late fifties or early sixties, he enlisted in the bracero program, and he went through a contracting center in Monterrey, Nuevo León, México; he comments that he went with one of his brothers-in-law, but they were separated during the x-ray portion of their processing; they did, however, meet up later while in the United States, and they picked cotton together; as a bracero, Dionisio labored in the fields of California and Texas until the program ended in 1964; he goes on to briefly recount the different worksites, housing, payment, treatment, and recreational activities; in addition, he describes working in Lamesa, Texas, and having to prepare his own meals, which was especially difficult, because he did not know anything about cooking; he also saw snow for the first time while in Texas; moreover, he explains that Hidalgo, Texas was the worst; there were about three hundred braceros there, and they were divided into smaller working groups; sometimes, they were not taken to the fields until 10:00 AM or 11:00 AM, at which point there was not much left to pick; eventually, by the early sixties, he had saved enough money to buy a car; he also explains that a group of braceros organized to demand better pay and appointed him their leader; in the end, they all backed out, but he refused to continue working for little pay, so he returned to México; he married in 1970, and a year later his wife had their first child; by 1972, he and his family moved to Manuel Doblado, Guanajuato, México, and settled there; his overall memories of the program are positive.
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.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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 | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 découle