“The place where I live is where I belong”: community perspectives on climate change and climate-related migration in the Pacific island nation of Vanuatu
Bibliographic record
Abstract
In recent years, narratives of the 'climate refugee' have abounded within the larger conversation regarding climate change. However, anthropologies from climatevulnerable Pacific Islands-particularly those most targeted by 'climate refugee' discoursehave determined that the way many media outlets and policy specialists speak of climaterelated migration is sensationalized, over-simplistic, and unrepresentative of how Pacific Islanders approach the issue. Aimed at illustrating how local context can add necessary nuance to the 'climate refugee' narrative, this paper investigates community perspectives on climaterelated migration within a Pacific Island that has not yet been covered in the literature-the Melanesian country of Vanuatu. Based on qualitative fieldwork in Port Vila, Vanuatu, I explore the positions of ni-Vanuatu policymakers and climate activists regarding migration linked to climate change and argue that these be incorporated into policy analyses of climaterelated migration in the Pacific. I find that ni-Vanuatu perspectives reflect an unwillingness to resettle as a result of climate change unless as a last resort, a prioritization of in-situ adaptation measures, and a preoccupation with maintaining cultural and livelihood links should resettlement occur. The implication of these findings is that policies that center these perspectives would allow for community control over movement-including the decision of whether to relocate at all. It will also emphasize prevention and minimization of the circumstances that precipitate climate-related migration. These findings serve as an original contribution to the topic of climate-related migration in Vanuatu-on which no scholarship has been done previously-and as representative of similar island nations.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.014 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| 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".