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Record W4238161170 · doi:10.1515/9781503607460

Citizens in Motion

2020· book· en· W4238161170 on OpenAlexaboutno aff
E. Ho

Bibliographic record

VenueStanford University Press eBooks · 2020
Typebook
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsMotion (physics)Computer scienceComputer vision

Abstract

fetched live from OpenAlex

More than 35 million Chinese people live outside China, but this population is far from homogenous, and its multifaceted national affiliations require careful theorization. This book unravels the multiple, shifting paths of global migration in Chinese society today, challenging a unilinear view of migration by presenting emigration, immigration, and re-migration trajectories that are occurring continually and simultaneously. Drawing on interviews and ethnographic observations conducted in China, Canada, Singapore, and the China–Myanmar border, Elaine Lynn-Ee Ho takes the geographical space of China as the starting point from which to consider complex patterns of migration that shape nation-building and citizenship, both in origin and destination countries. She uniquely brings together various migration experiences and national contexts under the same analytical framework to create a rich portrait of the diversity of contemporary Chinese migration processes. By examining the convergence of multiple migration pathways across one geographical region over time, Ho offers alternative approaches to studying migration, migrant experience, and citizenship, thus setting the stage for future scholarship.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.957
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.042
GPT teacher head0.173
Teacher spread0.131 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2020
Admission routes1
Has abstractyes

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