A Job Training Report As A Course Consultant At EF English First Jemursari Surabaya From 23 January 2015 Until 26 Febbruary 2015
Notice bibliographique
Résumé
In the writer’s opinion, having an internship at EF English First was a really worthy experience. The writer learned a lot from those experiences. After finish his internship at EF English First the writer had made so much improvement especially in communication skill and marketing. He met a lot of people with many characteristics as his customer at EF English First. During the internship, the writer not only learned about EF product knowledge, but also how to communicate with other people by talking to customer or the other staff in EF English First. He also experienced talking English formally in the office. \nThe writer realized that nowdays English is very essential thing in this world. It was experienced by the writer when he had his internship. Working in an English school made him would be able to speak in English in some situations because some of his working parents and the teacher are from another country. He also had a lot of relations not only from Indonesia, but also from outside Indonesia such as Australia, Canada, USA,and United Kingdom. By the internship, the writer got his full-time job as a course \nconsultant at EF English First Klampis. It is an honor for the writer to be a part of English First. \nThe writer assume that EF English First is a suitable place to have an internship for English Diploma major. The writer definitely suggets his juniors in college to have \ntheir internship at EF English First. By having an internship at EF English First, the writer can apply the subjects that he can learned at college. It was a great experiences that the writer might not get in other internship places. Due to its great achievement in facilitating the writer in doing his internship, he hopes that EF English First will cooperate with English Diploma Program Universitas Airlangga in terms of the internship in the upcoming years.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,008 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,114 | 0,023 |
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 source (Gemma direct ou Codex distillé), 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 ».