Transnational grandparenting: the intersection of transnationalism and translocality
Bibliographic record
Abstract
Introduction In the past decade the phenomenon of transnational grandparenting has received increasing, yet still sporadic, academic attention. The literature shows that the term was coined to describe various forms of new and changing relationships between grandparents and grandchildren in the context of transnationally dispersed families. Despite geographical distance, grandparental relationships can be maintained through, for example, global communications (such as the internet and mobile phones), exchanging gifts, visits and childcare (Chen and Lewis, 2016; Da, 2003; Lie, 2010; Nesteruk and Marks, 2009; Sigad and Eisikovits, 2013; Stephen, 2013; Zhou, 2012). Transnational grandparenting has been largely examined through a cultural lens. Empirical studies have primarily focused on diaspora families and minority ethnic groups whose cultural values may differ from those of the mainstream society: Chinese immigrants in Australia and the UK (Da, 2003; Lie, 2010); Indian grandparents in Canada (Stephen, 2013); Bangladeshi households in the UK (Lie, 2010); American–Israeli grandparents and their children and grandchildren who live transnational lifestyles (Sigad and Eisikovits, 2013); and Eastern European immigrants in the US (Nesteruk and Marks, 2009). On a conceptual level, furthermore, these groups’ cultural norms around, for example, family values, intergenerational relationships and the desired roles of grandparents have been fundamental in explaining those transnational intergenerational families’ struggles, negotiations and adaptations in the changing context of grandparenthood. Ascribing to culture a central role in conceptualising transnational grandparenting, however, neglects the broader structural factors (for example, neoliberal childcare and immigration policies) with which culture intersects. Although the cultures of migrant families have buffered or absorbed the effects of international mobility on ‘minority ethnic communities’ needs’ (Lie, 2010, p 1425), various cultural institutions around grandparenting – not only grandparental roles or relationships but also expectations about ageing – may also evolve or be transformed in the process (Zhou, 2012). Using the case of transnational childcare by Chinese grandparents in Canada, I contend that an exploration of the intersection of transnationalism and translocality can contribute to a broader, contextualised perspective from which to understand the dynamics, dissonance and effects of transnational grandparenting. The intersection of transnationalism and translocality: towards a broader conceptual framework My analytical approach to transnational grandparenting aims to illustrate the connections between mobility and locality by drawing on theories of transnationalism and translocality.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.026 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".