“Through the digits, through the fingers”: Variations on the string figure as imaginary digital medium
Bibliographic record
Abstract
This article considers artistic engagements with string figure performance and collection as ‘imaginary’ articulations of digital media. As an object of anthropological inquiry, the string figure emerges in 1888 with a short paper by Franz Boas. Encouraged by more mainstream publications by Caroline Furness Jansen (2008) and Kathleen Haddon (1930), over the course of the 20th century the string figure would become a model through which largely western writers and artists have explored both the anxieties and dreams of ideal, embodied and networked communication technologies. The present article explores, specifically, the collecting projects and films of Harry Smith in the 1960s and 1970s; the video-performance piece of 1974, titled String Games: Improvisations for Inter-City Video, by the interdisciplinary artist Vera Frenkel; and the string figure exhibit at David Wilson’s Museum of Jurassic Technology in Culver City, California. Through a media-archeological lens, the history of string figure fascination takes shape as a repository of dreams about (digital) communication, which, it is additionally suggested in a final section, might yet allow for the expansion and enlargement of conceptions of both digitality and media.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.038 |
| Scholarly communication | 0.014 | 0.009 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".