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Record W4281491474 · doi:10.32920/ifmj.v2i2.1579

Abstract Machine

2022· article· en· W4281491474 on OpenAlexvenueno aff
Filipe Roque do Vale, Manuel José Damásio

Bibliographic record

VenueInteractive Film and Media Journal · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFilmmakingAssemblage (archaeology)Transformative learningInteractivityMeaning (existential)Computer scienceProcess (computing)Social mediaThe InternetDigital mediaSociologyMultimediaAestheticsWorld Wide WebVisual artsMovie theaterArtEpistemologyHistoryArchaeology

Abstract

fetched live from OpenAlex

The last three decades have been a time of changes in filmmaking. Film editing as a part of it it’s not immune to this set of transformations. The driving force is the digital revolution, but the level of changes comes in different dimensions. The filmmaking process brought a change in technology and equipment that impacted technical and creative procedures. The emergence of the internet, social networks, streaming platforms, altered the relationship between the spectator and the medium. Film language acquired the capacity to absorb styles originated in television and in other media and keeps evolving. Access to the tools is democratized. Any young adult can use a phone or a computer to edit video content that feeds social networks. The next step will be artificial intelligence and this whole transformative process is far from ending. Throughout this evolutionary process, the montage theories have remained relatively stable because they are very robust, but the scale of contextual changes requires an update to this different technological and cultural setting. This paper aims to answer this question by proposing a conceptual framework for creative film editing. The framework design is based on the theory of assemblage (Deleuze, Guattari; DeLanda), it identifies the two minimal essential elements of the process: filmic elements and relations. Filmic elements are concrete, relations are abstract. Editing is creating relations between filmic elements and shaping those relations to produce meaning and aesthetics. In assemblage theory all assemblages share three characteristics, they all have concrete elements, an abstract machine, and agents. The abstract machine is a space of possibilities determined by the concrete elements in which all relations are possible. The editor is an agent acting on an abstract machine. From this perspective, we can identify two processes of interaction between concrete elements and relations and they occur along different dimensions. One dimension defines the variable roles that an assemblage component may play, from a purely material role to a purely expressive role. These roles are variable and may occur in mixtures. The other dimension defines variable processes in which these components become involved and are referred to as processes of territorialization or deterritorialization. These two specialized expressive media are viewed as the basis for a second synthetic process called coding. Coding supplies a second articulation, consolidating the effects of the first and stabilizing the identity of an assemblage. For coding methods, we use models from the theory of editing that define “rules” on how to connect shots together. Continuity editing, for instance, is a set of rules that can be viewed as a specific code. This framework includes a model for grid analysis to grasp how the relations being crafted can affect the film experience from different perspectives, namely narrative, aesthetic, and discursive. With this framework we provide a conceptual model to understand the film editing process from its most basic components, allowing the editor to have a clear understanding of how he can affect the cinematic experience, thus providing tools and methods for critical analysis.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.024
GPT teacher head0.234
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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