Bibliographic record
Abstract
Book Reviews: American History Unbound: Asians and Pacific Islanders by Gary Y. Okihiro; Waterman: The Life and Times of Duke Kahanamoku by David Davis; Building Filipino Hawaiÿi by Roderick N. Labrador; From King Cane to the Last Sugar Mill: Agricultural Technology and the Making of Hawaiÿi's Premier Crop by C. Allan Jones and Robert V. Osgood; Local Story: The Massie-Kahahawai Case and the Culture of History by John P. Rosa; The Second Pearl Harbor: The West Loch Disaster, May 21, 1944 by Gene Eric Salecker; Taken from the Paradise Isle: The Hoshida Family Story, edited by Heidi Kim; North Shore Place Names: Kahuku to Kaÿena by John R.K. Clark; Shipwrecked in Paradise: Cleopatra's Barge in Hawaiÿi by Paul F. Johnston; Hawaiÿi's Scenic Roads: Paving the Way for Tourism in the Islands by Dawn E. Duensing; Surfing Places, Surfboard Makers: Craft, Creativity, and Cultural Heritage in Hawaiÿi, California, and Australia by Andrew Warren and Chris Gibson; Royal Hawaiian Featherwork: Nä Hulu Ali‘i, edited by Leah Caldeira, Christina Hellmich, Adrienne L. Kaeppler, Betty Lou Kam, and Roger G. Rose; In Love and War: The World War II Courtship Letters of a Nisei Couple by Melody M. Miyamoto Walters; Sea of Opportunity: The Japanese Pioneers of the Fishing Industry in Hawai‘i by Manako Ogawa
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.567 | 0.587 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".