Bibliographic record
Abstract
Nest of stone is a short animated film reflecting on death as a personal monument. “The bleak and frosty atmosphere of a late autumnal day in a graveyard are pixelated in this narrated tale of recollection. The narrator weaves a sad tale as the inscriptions on the tomb stones trigger memories that she finds uncomfortable, as she gains acceptance of the nature of death and its place in life is pondered over and assessed reaching a satisfying conclusion.” (Steve Henderson in Skwigly Online magazine Animation) Awards 2015 Be There!, JURY PRIZE SHORT FILM Corfu, Greece Official selection World Premiere 2014 68th Edinburgh International Film Festival, Uk(BAFTA Qualifying Festival) 2014 20th Encounters Film Festival, Bristol, UK (BAFTA Qualifying Festival & OSCAR Qualifying Festival) 2014 Aesthetica Short Film Festival, York, Uk (BAFTA Qualifying Festival) 2014 33th Vancouver International Film Festival, Vancouver, Canada 2014 Cinetekton Mexico 2014 Animated Dreams, Tallin, Estonia 2014 8th British Shorts Film Festival in Berlin, Germany 2015 Cinema Perpetuum Mobile International Short Film Festival, Minsk, Belarus 2015 w-o-l-k-e , Brussels, Belgium 2015 Biennale Women’s International Short Film Festival, Losone, Switzerland 2015 BioBioCine, Concepción International Film Festival, Chile 2015 Athens Animfest, Greece 2015 Be There!, Corfu, Greece Special Screening & Retrospectives 2015 Rising Tides, London, UK
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.435 | 0.117 |
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".