Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Paul Zinder is an award-winning documentary filmmaker whose films have screened at over 70 international film festivals. He is fascinated by the intricacies of a nation’s cultural heritage and the people who build their lives and careers around the safeguarding of a piece of a country’s individuality. Graham Brown, the protagonist in 'Signwriter' (Film, 2015) is a narrowboat painter on the canals of Gloucester, England, and has been for over thirty-five years. Brown’s entire livelihood is spent perfecting what is now considered an ancient and endangered art form, the carefully placed, colourfully presented, and personally chosen art and lettering applied to the sides of the canal boats of England’s canals, that have been a major part of the country’s cultural and industrial landscape for over two-hundred years. 'Signwriter' was made on the request of the Canal and River Trust, to raise awareness of their charitable work. The Trust was formed in 2012 to watch over the waterways of England and Wales and the canals that first came to prominence during the Industrial Revolution. As Graham notes in 'Signwriter', the cultural relevance of this history has never been lost on him. He has always made it part of his job to pay homage to the traditional methods of painting the canal boats to honour the grand history of the canals themselves. 'Signwriter' screened at the National Gallery of Art in Washington, DC as part of the 2016 Black Maria Film Festival (winning Director’s Choice Award), at the 2016 Los Angeles Shorts Film Festival (nominated for a Best Editing Award), at the 2016 Walthamstow International Film Festival (London, UK), at the 2015 Canada Shorts Festival (winning a Certificate of Excellence), at the 2015 Croydon International Film Festival (London, UK), the 2015 Sunscreen Film Festival (Los Angeles, CA), and at the 2015 Virginia Film Festival (Charlottesville, VA).
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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 it