Indigenous Community Networking in Hawai’i: The Pu‘uhonua o Waimānalo Community Network
Bibliographic record
Abstract
Shaping digital inclusion policy and practice to meet community-defined goals requires more than access to digital devices and connectivity; it must also enable their effective design and use in situated local settings. For the Nation of Hawai’i, a Kānaka Maoli (Hawai’ian) sovereignty organization with a land base in Pu‘uhonua o Waimānalo on the island of Oahu, these activities are closely associated with broader goals of Nation-building and sovereignty. Recognizing there are many different approaches to sovereignty among diverse Kānaka Maoli, in this paper we document how the Nation of Hawai’i is conceptualizing the ongoing evolution of their community networking project. We suggest that the Pu‘uhonua o Waimānalo initiative reflects one Indigenous organization’s efforts to frame community networks as a means to generate a “sovereignty mindset” among members of the Nation, as well as share resources and experience among local community members and with other communities in Hawai’i and beyond.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 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".