Masculine borders as alienation of racialized, undocumented south Asian migrant workers in Greece
Bibliographic record
Abstract
Bangladeshi, Indian, and Pakistani low-class male migrants in Greece are marked by migrant precarity due to their undocumented status and by a flattened South Asian racialised masculine identity. Collectively othered, they struggle with symbolic borders created by colonial and postcolonial encounters, national identities, religion, and masculine expectations. This article explores how ideologies of prejudice and divisiveness in Greece work in tandem with articulations of othering and national (un)belonging from the men’s home countries to define both their interpersonal relationships and labour outcomes in Greece. It proposes the concept of ‘masculine borders’ to describe processes through which culturally specific masculinities of South Asian men are (re)produced or reconfigured relationally and hierarchically to each other by the capitalist project with the aim of alienating and discipling workers. With such everyday bordering discourses, a novel articulation of Marxian alienation of workers from each other emerges. In this case, masculine norms mesh with Islamophobia and racism to thicken masculine borders between Bangladeshi, Pakistani, and Indian men, assisting in the efficient accumulation of surplus by the capitalist class.
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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 | 0.002 | 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 | 0.007 | 0.020 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".