Bibliographic record
Abstract
Nest of stone is a short animated film reflecting on death as a personal monument. \n \n“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) \n \nAwards \n2015 Be There!, JURY PRIZE SHORT FILM Corfu, Greece \n \nOfficial selection \n \nWorld Premiere \n2014 68th Edinburgh International Film Festival, Uk(BAFTA Qualifying Festival) \n2014 20th Encounters Film Festival, Bristol, UK (BAFTA Qualifying Festival & OSCAR Qualifying Festival) \n2014 Aesthetica Short Film Festival, York, Uk (BAFTA Qualifying Festival) \n2014 33th Vancouver International Film Festival, Vancouver, Canada \n2014 Cinetekton Mexico \n2014 Animated Dreams, Tallin, Estonia \n2014 8th British Shorts Film Festival in Berlin, Germany \n2015 Cinema Perpetuum Mobile International Short Film Festival, Minsk, Belarus \n2015 w-o-l-k-e , Brussels, Belgium \n2015 Biennale Women’s International Short Film Festival, Losone, Switzerland \n2015 BioBioCine, Concepción International Film Festival, Chile \n2015 Athens Animfest, Greece \n2015 Be There!, Corfu, Greece \nSpecial Screening & Retrospectives \n2015 Rising Tides, London, UK
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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; a candidate call from one teacher head, 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".