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
BACKGROUND:\nThe work contributes to new debates of slow cinema which explore the disruptive nature of slowness and design through a Metamodernist framework. As informed and influenced by significant slow practitioner Bela Tarr, the work contributes to the field by positing itself as a new way to think about immersive slowness in film and how design can impact on the ways in which the cinematic frame can derive new knowledge from attesting the form of cinema through a reduction of temporality.\n\nCONTRIBUTION:\n‘Black Garden’ is a feature film directed by Shaun Wilson, with sound design by Darrin Verhagen (under the pseudonym ‘Shinjuku Thief’). In the creation of the film outcome, the research led by Wilson and Verhagen asks: 'how can cinema represent new ways of situating immersive design through slowness?' The outcomes expand the field of knowledge by defending the role that design plays in cinema by using qualitative research methods based on Design Thinking to create a 90 minute film which demonstrates new ways to approach design within sound and image. \n\nSIGNIFICANCE:\nThe film's significance can be attested to through: high impact screenings at the 3rd Nth Bellarine Film Festival, Marche du Film at the Cannes Film Festival 15-16 May 2019, Venice Production Bridge at the Venice Film Festival 20 August 2019, Canadian Film Market at the Hamilton Film Festival, Canada 8 Nov 2019; a review by established film critic John Noonan in Australian cinema publication Filmink on 12 November 2019; four articles in the Bellarine Echo and Bellarine Times; and an interview on FRESH FM 94.7, Geelong on 12 November 2019.\n
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 | 0.000 | 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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