Event Review: E Hō Mai Ka ʻIke: Celebrating the Launch of the Edith Kanakaʻole Quarter, Hilo, Hawaiʻi, May 5–6, 2023
Bibliographic record
Abstract
In 2022, Edith Kekuhikuhipuʻuoneonāaliʻiōkohala Kenao Kanakaʻole (1913–1979) was selected to be featured on a U.S. quarter as part of the American Women Quarters program, a collaboration between the United States Mint, the Smithsonian’s American Women’s History Museum (AWHM), the National Women’s History Museum, and the Congressional Bipartisan Women’s Caucus that celebrates the accomplishments and contributions of American Women to a variety of fields. In 2023, the United States Mint and the AWHM partnered with Hawaiʻi Community College, the University of Hawaiʻi at Hilo, and the Edith Kanakaʻole Foundation to organize a celebration of the quarter’s release. Collectively titled E Hō Mai Ka ʻIke: Celebrating the Launch of the Edith Kanakaʻole Quarter, the two-day event (May 5–6, 2023) showcased the vitality and innovative forms of contemporary Native Hawaiian visual and performing arts—a testament to Aunty Edith’s enduring legacy as it continues on through her descendants and students today.
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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.067 | 0.028 |
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".