Lost passports? Disconnection and immobility in the rural and urban Solomon Islands
Bibliographic record
Abstract
Anthropologists have documented the dense “trans-island” ties between rural and urban life in contemporary Melanesia. In exploring dilemmas of mobility and belonging in Solomon Islands, this article focuses on anxieties about the ways that these geographically expansive networks are shrinking – anxieties expressed through jokes and laments about “losing passports”. Drawing on interviews and published memoirs, it tracks the stories of two Malaitan families who migrated for economic opportunities in the late 1950s: one followed a well-trodden path to the Western Solomons to work on a copra plantation on Ranongga; the other family followed new paths to the rapidly developing the post-World War II capital, Honiara. Playing out against the backdrop of the so-called “Ethnic Tensions” (1998-2003), these narratives underscore the importance of maintaining ties to an ancestral home, but also the degree to which these networks are becoming attenuated.
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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 | 0.008 | 0.012 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".