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Record W2293406507

Advancing Research on “Stateless Children”: Family Decision Making and Birth Registration among Transnational Migrants in the Asia-Pacific Region

2014· article· en· W2293406507 on OpenAlexfundno aff
Jessica Ball, Leslie Butt, Harriot Beazley, Natasha Fox

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2014
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaCentre for Asia-Pacific Initiatives
KeywordsStatelessnessStateless protocolRefugeeCitizenshipPolitical scienceHuman rightsRepatriationEconomic growthLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

This paper foregrounds parental decision-making about birth registration in order to expand understandings of the determinants of child statelessness in contexts of transnational migration. Discourses on “stateless children” – children who lack birth registration or who live as undocumented international migrants or refugees – have typically emphasized human rights challenges resulting from statelessness, as well as the need for states to have accurate demographic data for planning and security purposes. Stateless children tend to be viewed from a deficit perspective emphasizing risks and deviations from dominant views of the conditions for optimal child development. While risks are not in doubt, positive motivations and reasoning of parents and, sometimes, older children themselves, for not obtaining birth registration, have not been seriously considered. Many states have mobilized to achieve universal birth registration as part of the post-2015 Millennium Development Goals (UNICEF, 2005; Plan International, 2010). As providers of the means for identity documentation and the benefits that typically accompany citizenship – including health care, education, and social protection – states are seen as the primary source of solutions to child statelessness. In this paper, we argue that the top-down perspective dominating discourse about statelessness is based on an inaccurate and unhelpful construction of parents as passive in regards to their children’s documentation and security. A glaring omission in tackling child statelessness is an evidence-based understanding of decision making by mothers, fathers, children, kinship networks, community leaders, and middle-men and women in regards to birth registration. Drawing on examples from Indonesia about high rates of child statelessness associated with transnational migrant labour flows, this article emphasizes the complex social, economic, cultural, and legal contexts of families seeking livelihoods beyond national borders. Dynamics within this sociocultural niche may contribute to low rates of birth registration as mothers and fathers contend with competing goals and needs in the context of precarious living conditions. The article points to the need for multi-vocal, multi-site ethnographic research that reveals mothers’ and fathers’ decision-making and children’s inputs in regards to birth registration, citizenship, and mobility. Research that seeks to understand mothers’ and fathers’ reasons for non-registration, despite enhanced availability of birth registration facilities,can contribute to knowledge on the topic of child statelessness in general. This research could yield insights into family and community influences that may need to be taken into account in designing government interventions to increase birth registration, reduce barriers to children’s access to entitlements associated with citizenship, and plan for children and family social protection, education, and wellness.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0070.014
Scholarly communication0.0070.010
Open science0.0020.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.035
GPT teacher head0.331
Teacher spread0.297 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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".

Quick stats

Citations6
Published2014
Admission routes1
Has abstractyes

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