Bibliographic record
Abstract
This chapter traces the production history of Christopher Nolan's <italic>Inception</italic> (2010). Nolan first tried out his treatment for <italic>Inception</italic> with Warner Bros. after making <italic>Memento</italic> (2000), but then realised the scope that would be required for the film and decided to gain more experience making large-scale films. After completing <italic>The Dark Knight</italic> (2008), Nolan finally decided to make <italic>Inception</italic> and spent the next six months completing the script. The filming took place in six different countries and on four separate continents, the main locations being in the UK, Morocco, Canada, Tokyo, Paris, and Los Angeles. Nolan has stressed that they deliberately filmed in six different countries, building enormous sets because he was interested in 'pushing the boundaries of what could be achieved practically, as opposed to computer effects'. Concerns for realism also governed Nolan's choice of cameras and film. <italic>Inception</italic> was released on July 10, 2010, and its opening weekend gross takings made it the second-highest grossing debut for a science-fiction film that was not a sequel or remake.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".