Bibliographic record
Abstract
Distributed by The Video Project, 145 - 9th St., Suite 230, San Francisco, CA 94103; 800-475-2638Produced by Capstone Entertainment GroupDirected by Michael Warren Wilson2024, Streaming, 77 mins In 1919, black workers' decades-long efforts to challenge exploitation in the Arkansas Delta culminated in the nation's deadliest racial massacre and labor battle. We Have Just Begun is the story of the Elaine Massacre through the eyes of the people who lived there. The film begins with an insightful overview of events leading to the Elaine Massacre. Directed by Michael Warren Wilson and narrated by Tongo Eisen-Martin, San Francisco Poet Laureate, they co-wrote the film after spending seven years investigating the events leading up to the Elaine Massacre. After years of exploitation, the farmers demand a share of the profits and begin working with union organizers and labor organizers. However, they did not know the reach of their oppressor. This documentary offers a raw and honest portrayal of history, illustrating how "the white ruling class recognized the growing strength of Black resistance and mobilized their efforts to suppress it." (We Have Just Begun) Elaine, Arkansas, population 600+, is a microcosm of African American history following Reconstruction. The film takes an honest and emotional journey as the town recounts its history. The interviews and personal stories are heart-wrenching and impactful. Some folks are old enough to remember the massacre, others are the children of sharecroppers, friends, or relatives. Their stories recount all the facets of oppression in the Delta. Interviews are balanced with historically accurate information, confirming the stories. Archival footage is used throughout and makes historical moments a reality. So many issues are brought to light; this film is excellent for the classroom and would prompt excellent discussions. The filmmakers present a revisionist perspective of the time and merits further discussion. Awards:Toronto Documentary Film Festival, Best Feature; New York International Film Awards, Best Historical Film / Best Social Justice Film
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.537 | 0.209 |
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".