Bibliographic record
Abstract
Rather than focusing on either bounded conceptions of migrant assimilation or unbounded transnational linkages, this paper situates migrant experiences in broader routes of identity. In the case of Malay ex‐seamen in Liverpool, UK, all of whom are now in their seventies or eighties, this has meant tracing life geographies extending back well over half a century. During the middle decades of the twentieth century when these men arrived in Liverpool, the city was a major seaport with longstanding maritime connections to Southeast Asia and across the Pacific. Drawing upon fieldwork carried out in Liverpool and Southeast Asia between 2003 and 2008, the paper gives attention to four geographical dimensions of the shifting identities of Liverpool‐based Malay ex‐seamen: (1) the always‐ already fluid and mobile nature of their identifications which preceded long‐distance migration; (2) shifting political geographies of identity (re)formation, particularly the establishment of post‐colonial national boundaries which cut across prior modes of identification; (3) historically variable constitutive geographies of long‐distance interconnection, most notably the transition from maritime socioeconomic networks to a post‐maritime period; and (4) social sites through which individual and collective identities are emplaced. The intention is to sketch these four different dimensions in such a way as to allow them to speak critically to issues of transnationalism and migrant identity beyond the specific case of Malays in Liverpool.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.014 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.000 | 0.008 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".