Bibliographic record
Abstract
Distributed by Bullfrog Films, PO Box 149, Oley, PA 19547; 800-543-FROG (3764)Produced by Martha Gregory and Ian CheneyDirected by Ian Cheney2023, Streaming, 55 mins Kaiulani Lee gives a convincing and moving monologue as Mother Jones, recounting her struggles on behalf of miners and child workers. Her portrayal is very convincing; the production is well-acted, well-written, and well-researched. Some of it is too grim for children, but for high school students and beyond it would be a great accompaniment to a study of American labor history, and one they would probably remember for a long time. The culmination of the film is Mother Jones's role in West Virginia's Battle of Blair Mountain, but she covers the significant parts of her life in getting there. She lost her family to yellow fever, lost her few possessions in the Great Chicago Fire, and emerged from obscurity and hardship to play an important role in some of the most tumultuous times of American history. She brought considerable publicity to the plight of children working in clothing factories and led them on a march to FDR's Long Island home. She exhorted miners to demand their rights and urged them to unionize and strike in state after state. The film contains many of her famous lines and recounts her defeats as well as her victories. Recommended for any collection supporting labor history or American history. Awards:Best Women's Film, Washington DC International Cinema Festival; Best Actress in a Feature Film, Crown Point International Film Festival; Best Actress, Toronto International Women Film Festival
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.463 | 0.222 |
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".