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Record W4393363952 · doi:10.1002/psp.2768

From strict socialism to social evils: Changing childhoods over three generations in urban Vietnam

2024· article· en· W4393363952 on OpenAlexaff
Sarah Turner, Hạnh Thúy Ngô, Thao Dinh Nguyen, Yvette Buttery

Bibliographic record

VenuePopulation Space and Place · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsMcGill University
FundersMarsden Fund
KeywordsContext (archaeology)VietnameseSociologyGender studiesGrandparentSocialismPolitical economyPolitical scienceCommunismPoliticsGeographyLaw

Abstract

fetched live from OpenAlex

Abstract Over the span of three generations, Vietnam's capital Hanoi, has transformed from a modest city grappling with food scarcity during the socialist subsidy era to a sprawling metropolis marked by gated communities and a widening wealth divide. Employing a child‐centric, multi‐generational family methodology, with members of 13 families across three generations, we explore the diverse childhood experiences shaped by these rapid urban transformations. Grandparents shared stories of unrestricted outdoor play despite challenging conditions, while parents noted a lack of academic pressures in their youth. Contemporary children enjoy access to new technology and consumer goods, but face important mobility restrictions due to parental and societal concerns. Our findings reveal that the Vietnamese context engendered distinctive childhood reflections for the two older generations, contrasting with childhoods in non‐socialist contexts during the same periods. Meanwhile, the contemporary Vietnamese state has crafted a ‘social evils’ discourse that shapes current childhood opportunities in specific ways. By being centered on urban Vietnam—a context vastly different from Global North‐dominated narratives in childhood studies—our study acts as a counterpoint that enriches the field with perspectives from a politically‐socialist state. Focusing on the unique childhood experiences within Hanoi's evolving socio‐spatial landscape, we advocate for more diverse understandings of childhood that respect varied realities across contexts.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.713
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.022
GPT teacher head0.315
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.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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