Bibliographic record
Abstract
Case Study: Planet in FocusOn opening night, 13 October 2010, Planet in Focus (Toronto) kicked off its eleventh environmental film and video festival with an unprecedented splash. 1 The opening film, In the Wake of the Flood (2010) was accompanied by its director, documentary stalwart Ron Mann, as well as its subject, Margaret Atwood -a Canadian literary star of international magnitude.Atwood and her husband Graeme Gibson, known for their long dedication to the environment and particularly the protection of birds, were there in person to receive the festival's 2010 Eco Hero award.After tumultuous applause for the film, The Echo Choir performed songs from the original film score, bringing one hundred women's voices to the stage.It was a rapturous occasion, with a soldout audience alongside representatives of the event sponsors, Random House Publishers and Lush Cosmetics.Random House supported their bestselling author, Margaret Atwood, on her eco-friendly book tour promoting her futuristic environmentalist allegory The Year of the Flood.Criss-crossing the U.K., North America and Europe, Atwood not only travelled by ocean liner and train to reduce the tour's carbon footprint, but she also worked with local community groups on musical theatre productions based on the novel's ecological hymnary -songs that praise the new-millennial patron saints, including philosopher Henry David Thoreau, environmentalist Rachel Carson and naturalist Euell Gibbons. 2 In each location, the grassroots approach involved inspirational figures as narrators, accompanists and choirs, theatre volunteers on costumes and propsall local -and the composer and conductor who travelled with Atwood.Her conception of the live version of the book was to go beyond identifying environmental and social ills such as climate change, pollution, economic inequity and racism.Rather, Atwood sought to inspire her audience into awareness and civic action.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.037 | 0.004 |
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".