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Chinese Diaspora and Social Media: Negotiating Transnational Space

2021· reference-entry· en· W3127257879 on OpenAlex
Wanning Sun

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOxford Research Encyclopedia of Communication · 2021
Typereference-entry
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaChinaMainland ChinaPolitical scienceSoft powerPoliticsImmigrationGovernment (linguistics)Economic powerPopulationDestinationsGeographyEconomyDevelopment economicsSociologyDemographyLaw

Abstract

fetched live from OpenAlex

Abstract The period since about the late 1980s has witnessed the phenomenal ascent of the People’s Republic of China as a political, economic, and military power on the global stage. China’s rise has engendered an earnest, if perhaps not well-executed, agenda to promote a more attractive image of the country. In this period China has also experienced a rapid escalation in outbound migration to various parts of the world, with a small number of countries in the global West emerging as the preferred destinations for Chinese migrants, and, in some cases, China becoming their biggest source of new migrants. In the United States, China replaced Mexico as the top sending country in 2018. In Canada, mainland China has taken over from Hong Kong and Taiwan as the largest source of Chinese immigration, while in Australia, China now has the second-largest migrant population behind the United Kingdom, and has only recently slipped into second position behind India as the nation’s leading source of new immigrants. These developments have made China’s diaspora the biggest in the world. In the eyes and minds of the Chinese government, Chinese migrants are important potential assets in its efforts to push its global soft power agenda. The period of accelerated outbound migration from China coincided with the emergence of first the internet, and then digital media—in particular, the most popular Chinese social media platform, WeChat (Weixin in Chinese). Against the backdrop of these developments at the macro level, the topic of social media and the Chinese diaspora becomes a question of considerable significance. Some analysts argue that the dramatically enlarged mainland Chinese diaspora has effectively become an instrument of China’s soft power agenda, while others point out the positive role that members of this group play in their host communities. In particular, they highlight the potential of Chinese-language social media—and in particular WeChat, which is widely used by Chinese people both within and outside China—to have a beneficial impact on Chinese immigrants’ prospects for social integration in the countries where they now reside. The pursuit of these questions entails a brief foray into a number of research areas, including the Chinese diaspora, the history and transformation of Chinese-language diasporic media, the infrastructural and regulatory framework of WeChat, and public diplomacy via diaspora. Addressing these questions also has the benefit of broadening, and possibly enriching, the concepts of digital diaspora, on the one hand, and digital citizenship, on the other.

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.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.891
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.061
GPT teacher head0.376
Teacher spread0.315 · 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