Bibliographic record
Abstract
The film was commissioned by the Scottish Film Talent Network, Creative Scotland & the BFI Network as part of their Scottish Short 2017 scheme. Directed by Shaun Hughes and Cinematography by Andrew O'ConnorThe film explores themes of undiagnosed mental illness, loss, greif and family. From a visual stand point i researched and tested ways to shoot the film digitally while emulating the look of film stock. The director shared with me many Polaroid pictures from his own childhood as visual reference. We also explored the use of focal length as a tool to keep the audience locked into the main characters perspective. This meant using longer focal lengths to deliberately restrict what the audience could see in the the characters world. The film premiered at the Edinburgh International Film Festival 2018, it was also awarded the Celtic Media Festival Torc Award for Best Short Drama 2019 & Best UK Short - Indie-Lincs 2020.The film was also broadcast on BBC Scotland as part of the Next Big Things Series and was available on BBC iplayer for a month following broadcast.SCREENING HISTORYIndie-Lincs 2020, Durango International Film Festival, 2020 Leuven International Short Film Festival, 2019 Blue Danube Film Festival, 2019 Tampere Film Festival 2019, Dublin International Film Festival 2019 Edinburgh Short Film Festival, 2019 Wallachia International Film Festival, 2019 (Winner - Best Actor) Florence Film Awards, 2019 (Finalist) Mhor Festival, 2019 International Shorts, 2019 Glasgow Southside Film Festival, 2019 Canadian Cinematography Awards, 2019 (Finalist) Edinburgh International Film Festival 2018, Inverness Film Festival 2018
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".