Non-/Human Infrastructures and Digital Gifts: The Cables, Waves and Brokers of Solomon Islands Internet
Bibliographic record
Abstract
This article demonstrates how nonhuman and human infrastructural assemblages, and the brokers that operate as assemblers within them, give rise to localised Internets. With an ethnographic emphasis on the digital transformations of Solomon Islands, we examine agentive brokerage practices surrounding digital multimedia files, downloaded off the global Internet and circulated offline as gifts via MicroSDs. We show how digital brokers use their comparatively unique manoeuvrability within digital infrastructural assemblages. They extend the Internet to offline rural environments, while following and strengthening local systems of moral economic social reproduction. Recognising the interconnectedness of human and nonhuman actors, these brokers are also dependent on the broader infrastructural assemblages in which they operate, especially the cables and waves that initially allow digital bits to travel to Solomon Islands. Localised Internets such as Solomon Islands are, thus, continuously in flux, being perpetually reassembled by the agentive practices of their constituent parts.
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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 | 0.004 | 0.012 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".