MétaCan
Menu
Retour à la cohorte
Enregistrement W2066218046 · doi:10.1111/1468-2435.00149

Social, Economic and Demographic Consequences of Migration on Kerala

2001· article· en· W2066218046 sur OpenAlex

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.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueInternational Migration · 2001
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSocial and Economic Development in India
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPopulationUnemploymentPovertySocial policyEconomic growthSocial changeSocioeconomic statusQuarter (Canadian coin)SocioeconomicsDeveloping countryDevelopment economicsPolitical scienceSociologyGeographyEconomicsDemography

Résumé

récupéré en direct d'OpenAlex

Migration has been the single most dynamic factor in the otherwise dreary development scenario of Kerala during the last quarter of the last century. It has contributed more to poverty alleviation and reduction in unemployment in Kerala than any other factor. As a result of migration, the proportion of the population below the poverty line has declined by 12 per cent. The number of unemployed persons – estimated to be only about 13 lakhs in 1998 compared with 37 lakhs reported by the Kerala Employment Exchanges – has declined by over 30 per cent. Migration has caused nearly a million married women in Kerala to live away from their husbands. Most of these so‐called “Gulf wives” experienced extreme loneliness to begin with, and were burdened with added family responsibilities to which they had not been accustomed when their husbands were with them. But over a period, and with a helping hand from abroad over the ISD, most came out of their early gloom. Their gain in autonomy, status, management skills and experience in dealing with the world outside their homes were developed the hard way and would remain with them for the rest of their lives for the benefit of their families and society. In the long run, the transformation of these million women will have contributed more to the development of Kerala society than all the temporary euphoria created by remittances and modern gadgetry. Kerala is dependent on migration for employment, subsistence, housing, household amenities, institution building, and many other developmental activities. The danger is that migration could cease, as shown by the Kuwait war of 1993, and repercussions could be disastrous for the State. Understanding migration trends and instituting policies to maintain the flow of migration is more important today than at any time in the past. Kerala workers seem to be losing out in international competition for jobs in the Gulf market. Corrective policies are needed urgently to raise their competitive edge over workers in competing countries in South and South‐East Asia. Like any other industry, migration from Kerala needs periodic technological upgrading of workers. Otherwise, there is a danger that the State might lose the Gulf market permanently. The crux of the problem is Kerala workers' inability to compete with expatriates from other South and South‐East Asian countries. The solution lies in equipping workers with better general education and job training. This study suggests a twofold approach. In the short run, the need is to improve the job skills of prospective emigrant workers. This could be achieved through ad hoc training programmes focussed on the job market in Gulf countries. In the long run, the need is to restructure the educational system, taking into consideration the future demand of workers not only in Kerala but also in potential destination countries all over the world, including the US and other developed countries. Kerala emigrants need not always be construction workers in the Gulf countries; they could also be software engineers in developed countries.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,364
Score d'incertitude au seuil0,734

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,031
Tête enseignante GPT0,306
Écart entre enseignants0,275 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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