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Citizenship Across the Life Course

2018· book-chapter· en· W2945228672 on OpenAlexaboutno aff
Elaine Lynn‐Ee Ho

Bibliographic record

VenueStanford University Press eBooks · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipMainland ChinaEmigrationImmigrationChinaNegotiationPoliticsLife course approachPolitical scienceMainlandSociologyGender studiesGeographyLawSocial psychologyPsychology

Abstract

fetched live from OpenAlex

Analyzing emigration, immigration, and re-migration concurrently, under the framework of contemporaneous migration, directs us toward evaluating what it means to stake claims to different components of citizenship in more than one political community across a migrant’s life course. This chapter examines the way the Mainland Chinese migrants negotiate social reproduction concerns that extend across international borders, their multiple national affiliations, and aspirations for recognition and rights as they journey between China and Canada across the life course. Patterns of re-migration are transforming the social relations of citizenship, re-spatializing rights, obligations, and belonging. Source and destination countries are also reversed during repeated re-migration or transnational sojourning. Transnational sojourning forges citizenship constellations that interlink how migrants understand and experience citizenship across different migration sites.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.931
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.052
GPT teacher head0.290
Teacher spread0.239 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

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