UNDERSTANDING THE DECREASE IN THE NUMBER OF STUDENTS AS A CONSEQUENCE OF MIGRATION- MACEDONIA
Notice bibliographique
Résumé
Migration is an inseparable process of the establishment of human societies, and there are different types of migrations and of different character, depending on the reasons and the causes. Migration has always been oriented towards developed countries. In the past, on an international level, among “preferred” destinations for immigrants have been USA, Canada and Australia. With the end of World War Two, there was a new wave which was more attracted to the old continent. Europe soon started to attract many workers from the region as well as from other continents. At the end of the twentieth century, even those European countries that previously sent migrants to wealthier countries began to receive migrants from the rest of the world. Certainly, underdeveloped countries are those that are most affected by migration. Part of this group is also Macedonia, which has been mostly affected by economic migration as a specific type of migration, which in the last years has had an unstoppable flow. Taking into consideration this situation, through this paper titled “Understanding the decrease in the number of students as a consequence of migration-Macedonia” I will deal with the phenomenon of migration which causes social disorders with consequences on the country’s perspectives. In order to construct a clear and concise paper, mirroring the current situation, I will rely on the empirical-analytical research method. The research interest of the paper will focus on the situation of the last three decades, starting from 1990 to today. The actual situation with special focus on economic migration, which implies the aim for better living conditions, will be presented through precise figures. As a result of these movements, this group of the population lives a better life in the western countries; however their home country is losing its people and there is a significant decline in schools. In order to give an accurate description of the situation we will rely on data published by institutions that deal with statistics and these kinds of demographic movements. Some of these institutions include the State Statistical Office of the Republic of Macedonia, the statistical office of the EU called Eurostat etc., which have published worrying data concerning the continued fall of the number of students in schools in the country. According to this data, the situation is even more alarming in the schools in Albanian language, particularly in places with Albanian majority.
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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 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 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 ».