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Record W2463004425 · doi:10.1177/2043610615613883

Living liminally: Migrant children living in the Myanmar-Thailand border region

2015· article· en· W2463004425 on OpenAlexaff
Jessica Ball, Sarah Moselle

Bibliographic record

VenueGlobal Studies of Childhood · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsLiminalityStateless protocolSociologyVulnerability (computing)Identity (music)Gender studiesGlobalizationForced migrationEmigrationState (computer science)ChinaEconomic growthPolitical scienceRefugeeAnthropologyLaw

Abstract

fetched live from OpenAlex

This article focuses on the perils and potential opportunities for children living as forced migrants in the transnational borderland between Myanmar and Thailand. During decades of armed conflict and economic ruin, millions of children and families from Myanmar have been displaced internally or forced to emigrate to Thailand and China. For migrant Myanmar children living in Thailand, lack of identity documentation, social protection and education are prevalent. Often stateless and disconnected from their families, communities and cultures of origin and excluded from institutional affiliations, they live perched on the edge of society in a liminal state. Despite their vulnerability, however, the conditions of liminality may also instil unique orientations to the world as transmigrants, with skills that equip them to cope with a high degree of uncertainty and hardship and to adapt nimbly to future stresses and opportunities in a globalized world. This article proposes an innovative programme of research that challenges foundational theories of child development and views these children as actively engaged in meaning-making and as carriers of globalization.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.237
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.028
GPT teacher head0.321
Teacher spread0.293 · 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".

Quick stats

Citations19
Published2015
Admission routes1
Has abstractyes

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