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Record W2922200481 · doi:10.1353/jaas.2019.0002

Characteristics and Issues of Asian Migration

2019· article· en· W2922200481 on OpenAlex
Ramon Bultron

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

VenueJournal of Asian American Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGrassrootsAllianceScope (computer science)East AsiaPolitical scienceEconomic growthPoliticsMiddle EastWork (physics)Development economicsGeographyChina

Abstract

fetched live from OpenAlex

Characteristics and Issues of Asian Migration1 Ramon Bultron (bio) The Asia Pacific Migrants Mission (APMM) is a regional migrant center committed to building and strengthening the migrant's movement in the Asia-Pacific and the Middle East. Established in 1987, the APMM—formerly known as the Asia Pacific Mission for Migrant Filipinos, or APMMF—assisted in the establishment and further development of migrant community organizations in various countries of the region that later on founded the group, MIGRANTE International. APMM since 2002 has officially expanded its scope of work to include non-Filipino migrants and assisted them also in building their grassroots organizations. These groups in various countries later on pushed and succeeded in establishing the International Migrants Alliance or IMA as the only global coalition that is composed majorly and led fully by grassroots migrant workers. With over 250 million migrants in the world, migration is a global concern as it is rooted in as well as impacts the economic, social, cultural, and political aspects of any country where they come from and where they live and work. For the past decade, migration has been becoming more and more often a topic of international meetings—be it by intergovernmental bodies or international agencies—that proves that it is a theme that is undeniable in scope and depth. By the Numbers: Migration to and from Asia From the work that the APMM does, the Asia region includes the Pacific countries, small island states, and the countries of destination in what is known as the Middle East or those that are in the Gulf Cooperation Council [End Page 1] (GCC). For the purpose of analysis, this article refers to the region as covering the said geopolitical areas. Data-wise, however, many of the sources tend to disaggregate the region into Asia (that includes North, Northeast, South, Southeast, Southwest, and Central Asia), the Pacific, and the GCC. Despite the differentiation, however, available data point to the fact that Asia is a region with a diverse, dynamic, and wide reach in relation to migration. The Asia region is home to three of the top five countries of origin of migrants as well as some of the recipients of remittance from migrants. Known migration corridors are found in the region, including the Bangladesh-India and the Indonesia-Malaysia corridors. The region is also composed of sending, receiving, and transit countries for migrants. It is also said to host the biggest number of refugees in the world who can be considered displaced similar to their im/migrant counterparts and thus face conditions that are somewhat similar to those of migrants. In the powerful Organization for Economic Cooperation and Development (OECD) where the United States and the rich countries in Asia and the European Union are included, Asia is almost on par with the EU in terms of origin of migration flow. In 2011, 1.6 million Asian nationals migrated to an OECD member country—a third of the total. Most of the migrants to OECD countries came from the People's Republic of China (PRC), India, and the Philippines. Among the OECD countries, the United States still remains as the top destination, with 373,000 inflows from Asia, though migration to the United States is still predominantly family migration. It is said that the number is even higher if temporary migration of those from Asia is included. Two Asian OECD member countries are in second and third place with 16 percent for Japan and 13 percent for Korea, though most of the flows are temporary migrants. Migration to OECD countries is generally characterized as highly skilled, though in OECD countries such as Australia, Canada, and New Zealand that have developed or are developing temporary labor migration schemes, migration of less-skilled migrants is also happening. In the past decade, the number of highly educated foreign-born in the OECD increased by 70 percent. Higher education is also prevalent among foreign immigrants in the OECD. However, they are still less likely to be employed than their native-born counterparts (77 percent vs. 84 percent), and when they are employed, about half of them tend to be overqualified for their position. Meanwhile, Asian migration to non...

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.137
Threshold uncertainty score0.210

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.333
Teacher spread0.319 · 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