Bibliographic record
Abstract
This article examines contemporary artists’ appropriation of social media platforms to explore new narrative forms. In addition to the aesthetic and thematic qualities of these works, artists’ social media narratives reveal pragmatic and discursive qualities, notably unique space-time configurations. Artists such as Molly Soda, Amalia Ulman, Martine Gutierrez, or even the design team Brud’s Instagram CGI character Lil Miquela, highlight the temporal and spatial narrative dimensions of social media designs and the ways these platforms facilitate, guide, and frame self-representation and storytelling. This article will explore the ways in which narrative elements are both integrated into the design of social media platforms and reappropriated artistically for critical or reflexive use, (re)constructing the intentions and potentials of both the technology and the narrative concepts. This reflection draws on literary discourse theory as well as digital narratology and socio-linguistics, specifically employing French philosopher Paul Ricœur’s concept of narrative identity and emplotment as well as Russian structuralist Mikhail Bakhtin’s theory of chronotope (Greek for “time-space”). Through this analysis, we interpret artistic social media practices as self-narratives that employ medium-specific temporal configurations and challenge the traditional narrative framework.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.032 | 0.007 |
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".