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Record W2734863140

The East Asian Metis in Francophone Literatures of the South Pacific, Indian Ocean, and North America

2017· article· en· W2734863140 on OpenAlexaboutno aff
Benjamin Hiramatsu Ireland

Bibliographic record

VenueDeep Blue (University of Michigan) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPhilippine History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsMetisFrenchPacific oceanGeographyIndian oceanOceanographyPacific RimEthnologyHistoryArchaeologyGeologyComputer scienceWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

This dissertation’s multi-sited historical and literary approach assesses how Asiatic cultural specificities ranging from foodways to indentured servitude frame the ways in which East Asian authors regard cross-cultural contact. In four chapters, I examine little-known literary works by East Asian métis writers, including Ook Chung (Korea/Japan/Canada), Dany Dalmayrac (Japan/New Caledonia), Jimmy Ly (China/Tahiti), and Daniel Honoré (China/La Réunion), who recount their multicultural identities, tribulations, and autobiographies in French. On the one hand, this analysis shows how postcolonial Franco-Asian literature has shaped the literary landscapes of the Francophone South Pacific through Japanese and Chinese writers of French. On the other, from a literary perspective, this dissertation affirms that mixed-raceness is not a methodology in itself, but rather a thematic through which authors create a methodology to analyze violence, memory, and kinship. Francophone East Asian authors of hyphenated origins offer in their novels methods to broach these thematics by placing into contiguity mixed-raceness and various cultural phenomena. This dissertation argues that mixed-race or métis East Asian migrants residing in the Francophone regions of Oceania, the Indian Ocean, and the Americas gave expression to new cultures of thought and movement, forging interethnic bonds between indigenous, intra-Asian Pacific, African, and French populaces during the nineteenth and twentieth centuries. I retrace the respective East Asian diasporas of Chinese and Japanese migrants across the Pacific Ocean before offering an analysis of their assimilation histories, as well as the ramifications that result from intra-Asian, Afro-Asian, and/or Franco-Asian interactions in these Francophone regions. I examine in addition post-Second World War Japanese migrant deportation and incarceration in New Caledonia and Australia, as well as the role mixed-race youth played in preserving a Japanese New Caledonian culture in the Francophone South Pacific. Such a transcultural exploration articulates a larger continuity of postcolonial representations of youth and mixed-raceness bridging Europe, Africa, and Asia with the Mascarene Islands. This dissertation’s interdisciplinary approach, dialoguing with work from Postcolonial Francophone Studies, Affect Studies, Mixed Race Studies, and Asian American Studies, understands métissage less as an ethno-racial phenomenon than as a trans-oceanic interconnectedness built on epistemic and affective kinships. Coupling a largely sociological application of the term métissage with one that is more theoretical (i.e., regarding métissage as cross-cultural kinship structures), I suggest that métissage can inform how Francophone East Asian authors regard trans-oceanic interactions as elements of consumption, internalization, and memory.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.880
Threshold uncertainty score0.238

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0120.007
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.180
Teacher spread0.174 · 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 designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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