Notice bibliographique
Résumé
Research shows that more than 60 percent of South African born professionals, who graduated from South African universities, are leaving the country to work abroad in search of better working environments and financial rewards.This research assessed the intention to migrate and a number of factors that are likely to influence intentions to migrate such as age, professional group, education, gender, and population group.The research also examined the countries to which people intend to migrate.Using survey data on migration from the Human Science Research Council of South Africa, descriptive and multivariate models were used to assess the relationship between various socio-demographic factors and the intention to migrate.For the multivariate models, logistic regression technique was used in analyzing migration trends.Results show that age and education have major influences on the intentions to migrate.It was also found that gender, marital status and population groups are significant factors when assessing the migrants.About 88 percent of respondents do not intend to migrate permanently to another area in South Africa or to another country in the next 12 months.About 97 percent are not planning to move temporarily, and 98 percent do not v consider migrating.Thus, majority of respondents do not intend or plan to migrate either permanently or temporary.This also means that, assuming that all expressed intentions turn into behaviour, migratory moves might decrease.Those who are likely to move would do so mainly to Australia (26 percent), Great Britain (19 percent), United States of America (19 percent), and Canada (7 percent).The least popular destinations, amongst others, were Angola, Egypt, France, and Germany (about 1 percent of respondents would consider moving to each of these countries).Those who intend to move within South Africa account for 85 percent and those intending to move outside South Africa account for 15 percent.This implies that there is a high possibility that we will observe more internal than international migration in the near future.Younger people aged between 18-24 years old were more likely to move than those between 35-45 years.It is evident that males were more willing to move abroad than females and more women were likely to move within South Africa.Of those who do not have any formal education, none would want to move abroad, but some would consider moving within South Africa.Those with a bachelor's degree are the most likely to move abroad, followed by those with honours degree or superior qualification.About 37 percent of those married or currently living together were unlikely to plan to move permanently.Fifty four percent of those who are married or currently living together said that they were unlikely to plan to move temporarily.We find that Indians/Asians are 74 percent vi less likely to plan to move out and return to their current place of residence at a later date.Africans/Blacks are more likely to move within South Africa than any other races.Whites and Indians are less likely to move within South Africa.
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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 | 0,000 | 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 | 0,003 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 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 ».