Bibliographic record
Abstract
Distributed by Women Make Movies, 115 W. 29th Street, Suite 1200,New York, NY, 10001; 212-925-0606Produced by Deborah Craig, Ondine Rarey, and Jörg FockeleDirected by Deborah Craig, Ondine Rarey, and Jörg Fockele2024, Streaming, 96 mins SALLY! is a powerful documentary that restores Sally Miller Gearhart to the history she helped shape. Gearhart was a writer, teacher, and strategist whose coalition with Harvey Milk in the fight against California’s Briggs Initiative marked a turning point for queer politics. At a time when gay men and lesbians often organized separately, she built bridges that changed the course of history. What sets this film apart is that it resists the easy narrative of a lone hero. Instead, it situates Gearhart within the collective feminist and LGBTQ movements of the 1970s, showing both how she shaped those struggles and how they, in turn, shaped her. This choice pushes viewers — and students — to think critically about how histories are told, why some figures are remembered while others are erased, and what it means to build a movement that outlasts any one leader. Stylistically, the film is lively and inventive, mixing archival footage, animation, and testimony to capture the energy of the era. At the same time, it doesn’t shy away from the harder questions: by the time we see Sally later in life, living on Women’s Land without the community she once helped create, the film asks us to reflect on legacy, loss, and the unfinished work of liberation. The interviews with Sally herself are a gift. Fiery, magnetic, and utterly unique, her voice anchors the film and reminds us that she was not only a strategist and intellectual, but also a dynamic presence who inspired those around her. These moments make the film feel alive in the classroom, giving students a direct connection to a figure who helped shape the history they are studying. For academic audiences, SALLY! offers more than biography. It is a teaching tool that opens conversations about coalition politics, feminist separatism, and the politics of historical memory. Awards:Jury Award Best Documentary Feature, ImageOut: The Rochester LGBTQ+ Film Festival 2025; Audience Award, Seattle Queer Film Festival 2024; Audience Award for Best Documentary Feature, OUT at the Movies International Film Festival 2024; Perfect Award, Geneya Queer Film Festival 2024; Best Documentary Feature, Reel Q Pittsburgh LGBTQ+ Film Festival 2024; Audience Award Favorite Documentary, Way OUT West Film Festival 2024
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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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.928 | 0.835 |
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".