MétaCan
Menu
Back to cohort
Record W2946920736

Up in the air: examining the experiences of Chinese mainland “satellite children” in Vancouver

2018· dissertation· en· W2946920736 on OpenAlexaboutno aff
Henry Li

Bibliographic record

VenueSummit (Simon Fraser University) · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsMainland ChinaSatelliteMainlandGeographyChinaEngineeringArchaeologyAerospace engineering
DOInot available

Abstract

fetched live from OpenAlex

This thesis seeks to better understand a unique migrant group, Mainland Chinese “astronaut” families, through an examination of the experiences of “satellite” children. Employing an interpretivist-idealist perspective and using grounded theoretical qualitative methods, this study critically investigates the family practices and identity processes of these migrants. Using data from eight in-depth interviews with young adults aged 21-32, this study explores how these actors practice complex cosmopolitan identities while alternating between “full” and “displaced” moments of family life. Results show that these individuals negotiate unique dual realities in which systemic alternation, or “world-switching”, becomes incorporated into daily life planning. Furthermore, their lives are filled with moments of self-suspension and sacrifice as they adhere to their familial obligations. Moreover, these young adults actively accept the notion of uncertain and unsteady futures within their own lives. Indeed, these “satellite kids” creatively negotiate these uncertainties while also staying practical and with careful optimism.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.338
Threshold uncertainty score0.680

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0120.005
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.241
Teacher spread0.230 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueSummit (Simon Fraser University)Same topicIsland Studies and Pacific AffairsFrench-language works237,207