David A. Chang. The World and All the Things upon It: Native Hawaiian Geographies of Exploration.
Bibliographic record
Abstract
In The World and All the Things upon It: Native Hawaiian Geographies of Exploration, David A. Chang recovers the history and outlook of indigenous Hawaiians or Kānakas, with whom he identifies himself. The title, which exemplifies the book’s central point, is taken from a serialized geography of the world by Kānaka teacher and intellectual J. H. Kānepu’u, which was published in a Hawaiian-language newspaper in 1877 (103). Long before the Hawaiian Islands were “discovered” in 1778 by English sea captain James Cook, the Kānakas knew who they were, just as they still do. It is outsiders who have taken so long to figure it out. Far too many of us still take for granted the United States’ overthrow of an independent people, which led to the Hawaiian Islands being annexed in 1898, rather than seeking to understand indigenous Hawaiians as active participants in the course of events. Kānakas not only acted but also recorded their actions and those of their predecessors. An American missionary presence early on meant that “by the late 1830s, most Kānaka were literate” (ix). Chang’s fluency in the Hawaiian language and his incorporation of Hawaiian-language materials into the text is innovative. While a small handful of scholars, such as Noenoe K. Silva, emphasize Native voices, more histories need to be written from the Kānaka perspective.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".