Bibliographic record
Abstract
The Women Film Pioneers project began as a collaborative effort to advance research on the accomplishments and history of women filmmakers from the early years of cinema through to the coming of sound. The original emphasis was on directors, writers, and producers. Recently, the project has expanded to include editors, exhibitors, publicists, and others working in the early years. \n \nOne major goal is the publication of a Sourcebook in two volumes, leading to primary materials concerning the feminine contribution to the world's film history during the silent period (publisher University of Illinois Press, deadline 2010-11). A global network of researchers from many different countries is currently working to draw up the biographies and filmographies of hundreds of early women filmmakers. Academic research has also fostered the development of a large archival project inspired by the need to discover, restore, preserve, exhibit, and distribute extant 35mm films. After the creation of a Women Film Pioneers collection at the Library of Congress, in 2007 an Italian restauration program (promoted by the Dipartimento di Musica e Spettacolo-Università di Bologna, Associazione Orlando, Biblioteca delle donne, with the sponsorship of the Ministry of Culture) has allowed to restore two important films: " 'A santanotte" (Elvira Notari, 1921) and "Umanità" (Elvira Giallanella, 1919). \n \nThe project is coordinated by Professor Jane Gaines at Duke University. Radha Vatsal is co-editor and research coordinator for volume I of the "Women Film Pioneers Sourcebook" (United States and Latin America), Monica Dall'Asta is co-editor and research coordinator for volume II (Canada, Europe, Australia, Asia, Africa and the Middle East). \n \nSee for more information http://literature.aas.duke.edu/wfp/
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.107 | 0.025 |
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".