H03-1514.50. Lakeshore Ethnic Diversity Alliance (LEDA). Records, 2002-[ongoing]. 0.25 linear ft.
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
In 1996, the knowledge that an African-American family had moved out of the community because they were not welcome or accepted spurred 18 concerned lakeshore residents to meet for the first time, determined to transform acceptance of racial and ethnic diversity into effective action for racial harmony. With the intent to address racial intolerance, dismantle racial barriers, celebrate diversity and empower residents already accepting of racial/ethnic diversity, they founded the North Ottawa Ethnic Diversity Alliance (NOEDA), a grassroots, volunteer-driven non-profit organization based in the Tri-Cities communities of Grand Haven, Ferrysburg and Spring Lake. Within two years, NOEDA’s programming expanded to meet identified needs in other communities along the Ottawa County lakeshore, including Holland, Muskegon, and rural areas where the cultural isolation of the 6,000 agricultural migrants who work and live on Ottawa County farms every year got little attention. Renamed the Lakeshore Ethnic Diversity Alliance (LEDA) to reflect its broader focus, the organization hired a full-time executive director and office staff in January 1999. A 501(c)(3) nonprofit organization with tax-exempt status, LEDA is supported entirely by individual and corporate donations and foundation grants. Today, LEDA has a diverse membership representing a broad cross-section of interests and cultures, with more than 200 volunteers working on racial healing initiatives throughout the county, and 3000 residents receiving the organization’s biannual newsletter. The Lakeshore Ethnic Diversity Alliance seeks to dismantle racial, socioeconomic, and institutional barriers to ensure that people of all ethnic backgrounds have equal access and opportunity to participate fully in the life of the community. Dismantling the pervasive social barriers that keep people of color from enjoying access and equal opportunity to fully participate in the community, and promoting acceptance of the richness of diversity continue to be the basis of LEDA activities and services. Collection includes newspaper clippings, postcard mailings and newsletter (now archived on their website: www.ethnicdiversity.org).
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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