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Record W3156574052 · doi:10.24908/iqurcp.11615

Filling the blanks: How Chinese students’ Study Experiences at Queen’s University gave them more Complete Knowledge about their Country and Changed their View on Contemporary China.

2018· article· en· W3156574052 on OpenAlexvenueaboutno aff
Nathan Bateman, Gilbert Lee, Zhou Songyang

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
Fundersnot available
KeywordsQueen (butterfly)ChinaConstruct (python library)NarrativeSociologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

In Canada academic freedom and the right to criticize are often taken for granted. Under some more repressive regimes, however, people grow up in an education system that bans the inquiry in certain areas and imposes an official narrative on the discussion of many topics. As an international student from China (PRC) studying at Queen’s, I have greater access to different perspectives on China and its history than before, and the more complete knowledge I obtained helped me to construct a more informed perception of my country. This inspired me to explore the similar change that happened to other Chinese international students at Queen’s, with a focus on how their views on contemporary China’s social and environmental issues, such as China’s air pollution, migration workers, and left-behind children, might have been influenced by their experiences at Queen’s and the chance they had to relearn their native country. Except its academic value, this project can make a difference to the Queen’s community by raising attention for Chinese students, who count for 59% of international students studying at Queen’s (Queen’s University 2017-18 Enrollment Report) but do not have a voice proportional to the community size. Besides, the interdisciplinary nature (history and human geography) of this project means it can be developed into more in-depth researches in the future, possibly during the coming summer.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.004
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
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 head0.179
GPT teacher head0.412
Teacher spread0.233 · 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; both teacher heads agree on what is shown here.

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 routes2
Has abstractyes

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