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No. 26: Social Media, The Internet and Diasporas for Development

2011· article· en· W2808426044 sur OpenAlexaboutno aff
Jonathan Crush, Cassandra Eberhardt, Mary Caesar, Abel Chikanda, Wade Pendleton, Ashley Hill

Notice bibliographique

RevueScholars Commons (Wilfrid Laurier University) · 2011
Typearticle
Langueen
DomaineEngineering
ThématiqueICT Impact and Policies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésThe InternetSocial mediaInternet privacyMedia studiesPolitical scienceComputer scienceSociologyPublic relationsWorld Wide Web
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The recent focus on diasporas by policy-makers researchers has highlighted the rich potential of migrants as a force for shaping development activities in their countries of origin. The study of diasporas in development presents researchers a number of significant challenges. As Vertovec and Cohen suggest, ‘one of the major changes in migration patterns is the growth of populations anchored … neither at their places of origin nor at their places of destination’. The fluid, multi-sited and multi-generational nature of diaspora groupings poses considerable methodological challenges of definition, identification, location, sampling and interviewing.\nAs the nature of African diasporas are constantly in flux so too should the methodologies we use to study them. In practice, traditional approaches lead to the same methodological roadblocks. Census and immigration data (particularly from destination countries) can provide an overall picture of diaspora stocks, flows and locations. However, privacy issues generally preclude these sources from providing disaggregated data at the level of the individual migrant or migrant household. Surveys of diaspora members have therefore become the standard means of collecting information on diaspora characteristics, identities, activities and linkages. This immediately raises a set of problems and challenges. Census data can tell us the size of the population to sample but not who the individuals are, where they live and how to contact them. Without a sampling frame, researchers tend to rely instead on ‘snowball’, ‘purposive’ or ‘convenience’ sampling. This has produced a disproportionate number of studies that rely on key informant and focus group interviews in order to create a profile of diasporas and their development-related activities.\nDiasporas are often geographically dispersed within a country and across different countries. Cost and time constraints and the bias of snowball and convenience sampling lead to a focus on sub-sets. Studies of diaspora members in particular cities or regions are especially common. While sample sizes vary considerably, there is a marked reliance on very small samples, which raises obvious questions about the representativeness and generalizability of the findings.\nThe mail-out survey is still the preferred method of reaching members of a geographically dispersed diaspora, although response rates remain stubbornly low. To contact members of the diaspora, mailing lists are compiled from organizations that keep, and are willing to share, membership lists (such as diaspora organizations, embassies, alumni associations, immigrant service agencies and religious organizations). However, this means an inherent sampling bias since data collected from these individuals and groups has the potential to be skewed towards diaspora members actively engaged with their origin country. This method of ‘accessing the diaspora through the diaspora’ is also unlikely to provide much information on ‘hidden’ members of a diaspora whose immigration status may be undocumented or uncertain and who are wary of disclosing personal information directly to researchers. Researchers have also noted that members of vulnerable populations such as asylum seekers and refugees might be reluctant to provide personal information due to fear and trust issues.\nTo identify and connect with larger numbers, different strategies need to be adopted. In this context, the potential of the internet has rarely been considered. Since the advent of the internet age, more than one billion people have become connected to the World Wide Web (WWW), creating seemingly limitless opportunities for communication. The past decade has also seen a major increase in the use of the internet by diaspora individuals and groupings. The internet has not only facilitated remittance transfers, but has increased communication among and between diasporas and influenced the formation of diasporic identities. In this context, the potential of web-based methodologies in diaspora research appears promising. The aim of this paper is twofold. First, we argue for supplementing conventional approaches with new methodologies that embrace the connectivity of diasporas, the emergence of social media and the potential of online surveys. Second, we illustrate the potential of this approach through discussion of the methods adopted in our current research on the African diaspora in Canada.

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 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: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,774
Score d'incertitude au seuil0,537

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 Opus0,028
Tête enseignante GPT0,205
Écart entre enseignants0,177 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2011
Routes d'admission1
Résumé présentoui

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