Notice bibliographique
Résumé
Albania’s international and internal migrations remain complex phenomena to describe and quantify. Irregular migration adds more complexity to understanding international migration and estimates fluctuate across sources of information. As a result, international and internal migration has collectively changed the demographic landscape of Albania. The consequences go beyond the total population estimate and affect other domains, such as the overall economic and infrastructure changes in the country, the labor market, and gender- and age- ratios. This study attempted to uncover some of the characteristics of contemporary Albanian migration, the paths and trajectories and the rationale behind them, whereas the estimates provided are simply numbers that describe but do not define the phenomenon. The overall objective of the study was to depict the characteristics of international and internal migration in Albania and identify the region’s most affected by these phenomena. Furthermore, the study sought to identify push and pull factors that led to decisions to migrate. The qualitative approach was used to gather information on the internal and international migration of Albanians. This study was based on a two-fold goal. First, to identify and review relevant literature accumulated on the topic of Albanian migration. The study included a strong component of literature review that preceded the data collection phase. When attempting to understand the demographic dimensions of Albania’s internal migration, several conclusions can be reached. The majority of the population is young and this has implications on the labor markets, which are increased in host communities and decreased in communities of origin. The male/female ratio in internal migration is more proportionate that the male/female ratio in international migration. Additionally, coastal and central prefectures are most usually destination regions, whereas north and northeastern prefectures are often source regions. As with internal migration, international migrants are also characterized as young, with more males migrating than females. Furthermore, international migrants tend to work in sectors such as construction, manufacturing, and services, with more women employed in domestic settings. Additionally, international migration is often a multistep process with neighboring countries (Greece, Italy) serving as primary countries of destination and later used as trampolines to migrate to other destinations. The most commonly identified destination countries are Greece, Italy, Austria, Canada, France, Germany, United Kingdom, and the United States. Return migration has emerged as a result of multiple factors, such as difficulties in obtaining proper documentation in destination countries, difficulties in obtaining family reunifications abroad and political and
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 | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».