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Record W2529085152 · doi:10.20495/seas.5.2_335

Kelvin E. Y. Low. <i>Remembering the Samsui Women: Migration and Social Memory in Singapore and China</i>

2016· article· en· W2529085152 on OpenAlexaboutno aff
Cheun Hoe Yow

Bibliographic record

VenueSoutheast Asian studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in Asia
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaChinaPromotion (chess)SociologyState (computer science)Gender studiesPolitical scienceMedia studiesLawPolitics

Abstract

fetched live from OpenAlex

Remembering Women: Migration and Social Memory in Singapore and China Kelvin E. Y. Low Vancouver: University of British Columbia Press, 2014, xiv+252p.The term refers to a specific location in Pearl River Delta region in Guangdong province, southern part of China, where many members of diaspora trace their ancestral homelands. While geographic benchmark is certain, of is open to interpretation and representation from many angles. On one hand, it is a matter of fact that a significant number of migrated from that particular place to work in largely in construction industry and to a lesser extent in households and factories. On other hand, this migration is a subject of imagination and deliberation as to who should be included under category Samsui Women and kinds of roles they have assumed in relations to Singapore and China. There were who hailed from elsewhere in China, taking advantage of label of in order to gain access to job markers where was a niche. Also, there have been various state projects focusing on and their contribution to shaping identities of Singapore as nation.This book is laudable research on how issues and discourses have been revolving around women. The author, Kelvin E. Y. Low, is a sociologist at National University of Singapore. He has succeeded in meeting objective he sets in book, revealing experiences of and arguing that the many reconstructions of their past are utilized by state, other institutions, and stakeholders towards achieving vested interests in promotion and maintenance of a national identity (p. 7).The primary sources Low has collected are rich, including interviews with documentaries, art works, and events. To uncover what forces determined telling of stories and representation of images concerning he has appropriated concepts of history and as social reconstruction, national identity, and personal narrative. The presentation of findings and discussions are soundly laid out in six chapters: Chinese Migration and Entangled Histories, Politics of Memory Making, Local and Transnational Entanglements, From China to Singapore, Beyond Working Lives, and Women, Ma Cheh, and Other Foreign Workers.Chapter 1 is an introduction to subject matter and argument, with a succinct account of historical backdrop against which various waves and types of migrants made their way to Singapore. Low rightfully reveals interconnectedness of different sets of networks as well as different spaces of locations spanning China and Southeast Asia, in what he argued as a stunning case of entangled history. The pictures are variegated and complicated, but Low makes it clear that at intersections between British expansion and migration, decline of silk industry and anti-marriage practices in Guangdong led to migration of to thus adding a distinctive female layer to political and social settings.Chapters 2 to 6 are in-depth examinations of from multiple angles. In Chapter 2, Low shows how Singapore as a new nation-state has crafted its reproduction of and memory whereby have been portrayed as Chinese migrant women, pioneers, feminists, and elderly women to meet both national engineering and social imagination for what kind of heritage has been established in Singapore. …

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)0.001
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 score0.270
Threshold uncertainty score0.910

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.019
GPT teacher head0.269
Teacher spread0.250 · 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 teacher head, 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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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