Bibliographic record
Abstract
Batum takes as its starting point the experience of near drowning in the Black Sea of Batumi, Georgia. As such, the film is induced with a desire for an auto-ethnographical self-interrogation. Images that feature in the film are a constellation of personal and prosthetic memories, acquired through historical and cultural knowledge as exemplified by the poems of Osip Mandelstam and Joseph Stalin, among other cultural tropes. While making Batum, Kuc set to explore a certain displacement of identity that emerges when we encounter past experiences. She sought to experience how memories become fiction once recorded and how in this process of recording, the camera itself holds a mysterious agency. The film also investigates how the complex relationship between personal and collective memories often subverts the social and political identity constructions. The sound for Batum is derived from speech, the sound of the ocean and the national anthem(s) of Georgia. These rather diverse sources are fused together, creating hybrid convolutions appearing to be ‘within’ each other (allowing the sea to speak, the voices taking on the rhythm of the national anthem etc). As a technique, it is a form of spatialisation for creating abstract spaces that cannot exist in reality. However, environmental sounds can therefore take on a human characteristic - providing an emotional response for the listener. See 'Ciné, ma vérité: Memory as a Creative Force in the Process of Constructing Subjectivities', David Camarena, Bryan Konefsky and River Quane, eds., Girlfriends: An Ovular Peek into She-ness and Cinema (Albuquerque: Basement Films, 2016). Batum has been shown widely throughout Europe and USA. SCREENINGS: Experiments in Cinema, Guild Cinema, Albuquerque, New Mexico, USA, 10 April 2016 Cinememory: Negotiating the Past Through Film, Grand Illusion Cinema, Seattle, USA, 26 July 2016 Museum of Human Achievement, Experimental Response Cinema, Austin, Texas, USA, 4 August, 2016 Bucharest ShortCut Cinefest, Bucharest, Romania, 11 August 2016 Institute of Contemporary Art (ICA), London, 28 September 2016 Genesis Cinema, Whitechapel, London 4 October 2016 The 11th Austin Polish Film Festival, Austin, Texas, AFS Cinema& Hall (Marchesa), Austin, USA, 15 October 2016 London Experimental Film Festival, 17 October 2016 London Short Film Festival, Institute of Contemporary Arts (ICA), 8 January 2017 Alchemy Film and Moving Image Festival, Hawick, Scottish Borders 5 March 2017 Montreal Underground Film Festival (MUFF), MICROCINEMA, 6029A ave. du Parc, corner Van Horne, Montréal, Canada 18 May 2017 BEAST Film Festival, Porto, Portugal 22 September 2017 (with artists' talk given by Kamila Kuc and Rob Godman) Ann Arbor Film Festival, USA as part of Disasters in Peace, 21st March 2018 AWARDS: Awarded a nomination for the Experimental Film Category Bucharest ShortCut Cinefest Competition 2016. Awarded a nomination for the Creative Arts Film Festival 2016. THE FILM MAY BE VIEWED HERE: https://vimeo.com/202782688
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.043 | 0.009 |
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; both teacher heads agree on what is shown here.
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".