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Record W2783433765 · doi:10.1057/978-1-137-59733-5_36

Study Abroad and Global Citizenship: Paradoxes and Possibilities

2018· book-chapter· en· W2783433765 on OpenAlexaff
Graham Pike, Mackenzie Sillem

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsVancouver Island University
Fundersnot available
KeywordsGlobal citizenshipCitizenshipPluralism (philosophy)Political scienceGlobal citizenship educationGlobal educationAdaptation (eye)Cultural pluralismPublic relationsDevelopment economicsSociologyCitizenship educationPsychologyEpistemologyEconomicsLaw

Abstract

fetched live from OpenAlex

Higher education students are being encouraged to spend time studying in another country because of its reputed benefits. Claims are made about the positive impact of study abroad in developing global citizens, yet the current practice gives rise to several paradoxes. These include: how attempts at cultural adaptation can undermine acceptance of cultural pluralism; how an emphasis on risk management can limit students’ learning potential; and how efforts to increase participation in study abroad may perpetuate global inequities. Some possible strategies are offered to avoid these pitfalls and create strong programs that align with the ideals of global citizenship. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.017
Scholarly communication0.0090.008
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.035
GPT teacher head0.330
Teacher spread0.295 · 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 designTheoretical or conceptual
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

Citations9
Published2018
Admission routes1
Has abstractyes

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