Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
American suffrage history is dominated by white suffragettes; however, this essay aims to bring to light another vibrant dimension of the American women’s suffrage movement. Mabel Ping-Hua Lee turned tides when she marched horseback at a women’s suffrage parade at the age of sixteen, and further entrenched herself as a prominent Asian-American suffragette as she continued to fight for women’s suffrage throughout her lifetime, although the Chinese Exclusion Act of 1882 barred her and all Chinese people from voting or obtaining citizenship until the act was repealed in 1943. This article explores many dimensions of Mabel through several of her primary environmental and personal influences, from Guangzhou, China to New York City’s Chinatown, which all shaped her into an admirable, and selfless social justice advocate that claims an unforgettable chapter in American and Asian-American political history.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it