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Record W2943228685 · doi:10.29392/joghr.3.e2019025

Transnational family support and perspectives from family members back home: a pilot study in Kisumu, Kenya

2019· article· en· W2943228685 on OpenAlexafffundabout
Lisa Merry, Dominic Mogere, Dan Odindo, Nancy Edwards

Bibliographic record

VenueJournal of Global Health Reports · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of OttawaUniversité de Montréal
FundersMount Kenya UniversityUniversity of Ottawa
KeywordsSpouseClosenessQualitative researchPhoneExtended familyPsychologyInterviewSociology

Abstract

fetched live from OpenAlex

# Background Transnational family support as a resource for migrants is understudied, particularly from the perspective of those providing support from a distance. This pilot study aimed to determine the feasibility of conducting transnational research and gathering data from family members back home using communication technology. Preliminary data on the experience of providing transnational support to migrant family members living abroad, were also collected. # Methods We conducted a small, qualitative descriptive study in Kisumu, Kenya. A convenience, purposive sample of six men and three women, who self-identified as providing support to migrant family members living in another country were recruited. Data were collected via semi-structured interviews through Skype phone calls with a researcher in Canada. # Results Participants had various relationships (sibling, spouse, parent, uncle, cousin) to those who migrated; family members lived in the UK, US and Canada. Gathering data virtually was feasible, although there were some practical challenges and communication barriers. Interviews revealed that participants were open to share and highlighted the importance of obtaining perspectives from different family members and asking a variety of questions to elicit both positive and negative experiences. The risk of sensitive topics causing distress, raises some ethical concerns about how researchers may adequately respond and provide support from a distance. The preliminary data collected on the experiences of providing transnational family support showed that participants provided financial, emotional, spiritual and practical support. Support varied with time, with help being more intense during early resettlement and in times of financial difficulty; gender, relationship and closeness seemed to shape the nature and extent of support given. Participants mostly felt positive about their family members' migration although they also disclosed experiences of conflict and tension, which were in part due to the support-giving context. # Conclusions Family members back home are willing to engage in transnational research and using communication technology is an efficient and logistically feasible approach for gathering data from these participants. Including family members' back home in research yields informative data on transnational family support.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.359
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2019
Admission routes3
Has abstractyes

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