Bibliographic record
Abstract
Distributed by Bullfrog Films, PO Box 149, Oley, PA 19547; 800-543-FROG (3764)Produced by Melanie ChaitDirected by Melanie Chait2021, Streaming, 80 mins Melanie Chait set out on a mission to document her wife’s struggle with battling breast cancer in South Africa. Her wife, Nancy Diuguid, was loved by her theatre community and was often rewarded for her contributions to the field. Although she was beloved, she was still criticized by the media for her holistic approach to treatment and recovery. Themes of this film range from death, love, sexuality, as well as feminism and environmental activism. Married couple Melanie and Nancy spent most of their lives fighting for environmental change, especially as it relates to releasing harmful pesticides into the air and crops, due to Nancy’s cancer diagnosis. Their activism didn’t just stop at environmental causes, however. While battling cancer, Nancy began working with the community through art therapy classes and continuing her work in theatres. Nancy’s actions and perspective demonstrates that despite life’s hardships, you should never give up happiness and what you believe in. There is always something to fight for. This deeply intimate, and often gut-wrenching, film is an excellent companion for conversations ranging from environmental activism, art therapies, community engagement, living with a fatal illness, and love and sexuality. Awards:Best of Fest & Best Documentary, Cinema Systers Film Festival; Best Feature Documentary, Toronto International Women Film Festival; Best Editing, Women in Film Festival, Zurich
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.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.460 | 0.221 |
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".