Bibliographic record
Abstract
The Open Source Embroidery (OSE) exhibition presents socially - engaged new - media art which uses the tools of craft and software to create hybrid experiments mapping the relationships between the traditions of collective craft, and women’s technical skills, and the more recent culture of open source software and creative commons. The research for the OSE exhibition began in 2005, by bringing together the crafts of computer programming and needlework to explore their shared characteristics and ethics of production and distribution through works hops and small exhibitions. The project addresses gender balances between craft and computing, and engages the fine arts and crafts in rethinking digital media. The resulting artworks make visible, and physically tangible, the invisible processes of code, programming and new media ethics. The OSE exhibition investigates digital technology as an expressive, material and activist artform connected to older systems of sharing and collective working. The DIY culture of reverse-engineering inspires hackers and makers to deconstruct and reconstruct their machines and materials, recycling and re-using, modifying and adapting for contemporary life. OSE also uses open methods of facilitation and supports the creative commons. The project exists online and in social spaces and events. \n \nThe Html Patchwork and Patchwiki was facilitated by Ele Carpenter. The project brought together software programmers, html users, and crafts people to share their skills and knowledge and stitch fabric patches and wiki pages. Each patch is embroidered with its hexadecimal colour code, and personalised by the sewer, often with their url. Patches were made in workshops at Access Space Sheffield, BNMI Canada, Isis Arts Newcastle and the Fat Quarters Shop in Blackhall Mill 2007-8.
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 | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.175 | 0.068 |
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".