Bibliographic record
Abstract
<JATS1:p>This book offers the first study of the French-Swiss filmmaker Jean-Luc Godard's vast body of over 380 unmade, unfinished and abandoned projects over the course of his career from the late 1940s to the 2020s.</JATS1:p> <JATS1:p>While Godard is widely recognised as one of the most important and influential filmmakers of the post-war period, extremely little has been written about his largely invisible and unknown corpus of unrealised works. This includes many unmade films, videos and television programmes alongside a wide range of unfinished non-audiovisual ventures such as plays, books, exhibitions, a CD, a camera, a film journal, and even an architectural maquette.</JATS1:p> <JATS1:p>Drawing on extensive research on the surviving traces of these projects in archives and private collections, Michael Witt's comprehensive survey establishes the extent and constitution of the Godardian corpus of unrealised and abandoned works for the first time and examines them in detail in six key perspectives: literature, cinema, theatre, television, politics and history.</JATS1:p> <JATS1:p>The volume includes in-depth case studies of numerous major unfinished initiatives by Godard and his collaborators in locations around the globe (France, the Middle East, the USA, Quebec, the People's Republic of Mozambique), charts the extensive connections between his abandoned projects and his completed works, casts in relief his creative process, and offers a fresh way of thinking about and approaching his practice and oeuvre as a whole. A full annotated list of his unrealised and abandoned projects is included as an appendix.</JATS1:p>
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".