Bibliographic record
Abstract
Story telling and informal learning is passed down generations and has been recognized as the best approach for human evolution and development. Its efficient process has made its impact and has demonstrated its benefits scientifically at the DNA level. There are scientific publications that attribute human evolution to this DNA based memory, making humans thrive on this planet as dominant species with emotions and care. One such form of storytelling and informal learning is folk quilting which has an extensive history. The power of storytelling and informal learning over generations helped quilters acquire their sense of identity, belonging with a deep sense of felt values. Every patch in a quilt is a story to say invoking memories presenting a living tradition in the folk world. The story of quilts are not just personal appeal to those who stitch but symbol of care, comfort, and inspiration to their loved ones and to those who eventually own them. Community of collaborative quilters within families and guild collectives resonate to social values; patience, connectedness and expression that are central to the form. Hybrid networks of quilting communities in developed countries maintain integrity of social values different from that of traditional folk quilters in developing countries due to the very nature of digital accessibility. With the growing global market, native folk quilters are approached by the creative industries with a certain sense of urgency. Creative technological tools are introduced to meet the demand for increased production. With market driven production, care and collaboration are in question. To top it all, as digital immigrants, traditional folk quilters struggle with technological adoption as they are already threatened to survive and sustain the purity of the indigenous form. They now are further challenged to impart their sense of effective passing down of traditions to their younger generation with the care different from their own. Adopting technology on their own terms is no easy feat, as makers of technology don’t necessarily see folk artists as their primary users. As part of my research into creative technology influencing quilters, I hope to draw on transdisciplinary methodologies ranging from textual analysis of case studies from India and North American folk art history, folk feminist ethnography, cultural studies, ethno-mathematics and digital fabrication. I will be interviewing folk quilters, quilt guilds, artists, designers and technologists to understand the complex dynamics of the interplay of social values, aesthetics, technology and production. In my proposed paper, I will share voices from the field that will examine the changes in the process of how memories and stories are told with the coming of new digital tools and technology and a reaction on how to take forward care for cultural nature of this rich artistic tradition to their own communities through living practitioners. These voices could help transfer the cultural nuances to creative technologists in ways that inform their design processes such that they improve the chance of technology success amongst folk artists for creative production, discourse building and folk quilting pedagogy to sustain and thrive.
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".