Brave new world <b>The E-Waste Tragedy</b> <i>Cosima Dannoritzer, director</i> . Media 3.14, Spain, 2014. 86 minutes. <b>Tiger Tiger</b> <i>George Butler, director</i> . White Mountain Films, United States, 2015. 90 minutes. <b>Just Eat It: A Food Waste Story</b> <i>Grant Baldwin, director</i> . Peg Leg Films, Canada, 2014. 75 minutes. <b>Seeds of Time</b> <i>Sandy McLeod, director</i> . Hungry, United States, 2014. 77 minutes. <b>Bikes vs Cars</b> <i>Fredrik Gertten, director</i> . WG Film, Sweden, 2015. 88 minutes. <b>Cowspiracy: The Sustainability Secret</b> <i>Kip Andersen and Keegan Kuhn, directors</i> . A.U.M. Films and First Spark Media, United States, 2014. 91 minutes. <b>Return of the River</b> <i>John Gussman and Jessica Plumb, directors</i> . Elwhafilm LLC, United States, 2014. 70 minutes. <b>Who Owns Water</b> <i>David Hanson, Michael Hanson, Andrew Kornylak, directors</i> . MoDoc and Fourmile Media, United States, 2014. 50 minutes. <b>Gambling on Extinction</b> <i>Jakob Kneser, director</i> . Real to Reel Productions Inc., a&o buero filmproduktion, Germany, 2014. 52 minutes.
Bibliographic record
Abstract
Each March, the museums, embassies, libraries and local theaters of Washington, DC play host to a festival of films that shed light on pressing environmental issues. Many of the screenings are free, and all are open to the public. A number of this year's films sought to draw specific attention to climate change, a move organizers' hoped would help the festival "serve as a signpost" on the route to the 2015 United Nations Climate Conference, which will be held later this year in Paris, France. Other films challenged audiences to confront the role of humans in wildlife extinction, invited viewers to think twice about our seemingly insatiable appetites for food and fuel, and encouraged the adoption of more sustainable ways of life. Read on to see what our reviewers thought of 9 of this year's films.
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 | 0.011 | 0.003 |
| Meta-epidemiology (narrow) | 0.008 | 0.006 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.007 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".