Bibliographic record
Abstract
Doctorow, Cory. Pirate Cinema. New York, NY: Tor Teen, 2012. Print. In the near future, the Internet is not an extra, but a necessity. Without access, not only will you lose the ability to connect with friends and surf for entertainment, but you will be unable to graduate because you can’t hand in your assignments, you will lose your health benefits, and perhaps even lose your job. In Cory Doctorow’s Pirate Cinema, this disaster overtakes Trent McCauley’s family. Trent loves to make movies. Unfortunately, like many of today’s teens, he creates his content by ‘remixing’ others’ videos, images and music. In a world where copyright laws have become oppressive and corporations rule the government, Trent is seen as a thief. He is caught, and as a consequence, his family is cut off from Internet service for a year, and they suffer for his crimes. Feeling guilty and distraught Trent runs away to the streets of London. There, he hooks up with Jem Dodger (a nod to Dickens here), learns the ins and outs of street living, and discovers a vibrant and thriving underground community of artists and activists. Hooking up with the savvy and beautiful 26, Trent adopts the name Cecil B. DeVil and is soon creating movies with pirated material once again. This time, however, his videos have a purpose beyond entertainment; the downfall of the aggressive and brutal copyright laws that lead to his family’s predicament. Doctorow, a blogger and an activist for changing copyright laws, and a proponent of the Creative Commons model of intellectual property, is not subtle with his message, and presents only one side of the copyright issue. Yet, given the direction copyright law is taking in response to the changing landscape of media and the Internet, and the looming specter of a ‘Big Brother’ Internet that can find out everything about you from your digital footprint, this is a message that teens should hear. Doctorow also puts his money where his mouth is: all of his books are available for free online, including this one. One of Doctorow's strengths is his ability to draw characters that are fully realized and that pull you into their story and their cause. His book is not all heavy doom and gloom, either. Doctorow knows his teens and their language, and the book has off-beat characters, hip slang and humour. Recommended for teens who are interested in social media and justice issues. Recommended: 3 out of 4 stars Reviewer: Lissa Davis Lissa Davies is an elementary teacher-librarian in Edmonton, Ab. She is a passionate reader, and is always excited to share new books and engage readers!
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.237 | 0.113 |
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".