Unsettling Migrant Reintegration: The Serial <scp>Risk‐Taking</scp> of Returning Overseas Filipino Workers (<scp>OFWs</scp>) to Cordillera, Philippines
Bibliographic record
Abstract
Abstract In 2017, the Philippine government boosted its campaign on Overseas Filipino Worker (OFW) reintegration, a set of programmes designed to aid returning Filipino labour migrants. In this paper, I examine migrant reintegration through the case of returned migrants to the province of Benguet, Philippines. Rather than use “sustainability of return” as main focus of assessment, I foreground instead the historical geographies undergirding the current reiteration of this migration policy. By doing so, I demonstrate how the “gambling” practices of returned migrants can be read as not an easy acquiescence to the neoliberal imperative for self‐entrepreneurship encouraged by the Philippine state. In highlighting gambling as an embodied strategy emerging from and through imperial histories, I argue that migrant reintegration gets revealed as rehearsal of certain colonial logics that have oriented certain peoples to the labour of serial risk taking for survival. Close attention to return migrants’ gambling practices raises urgent questions regarding the relentless push for entrepreneurship as development solution.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".