Fuzzy Frontiers: A Performative Materialization of Intentionality
Bibliographic record
Abstract
"Borders, Corridors, and Lines of Desire: Outposts of Improvisation on the Unmarked" is a large-scale, interdisciplinary, performative research project that aims to bring together our involvement with improvisation and our interest in ethnographically addressing the forces that expand and constrain culturally inflected ways of being throughout the borderlands of South Texas (USA). Borders and borderlands have long captured the attention of scholars and critically informed artists who rightfully regard these interstatial environs as frontiers of identity, where states are at "the extremity of their power" to shape the quotidian lives of the people who actually inhabit these fuzzy frontiers. In this project, we are interested in investigating, contemplating, processing, and communicating how individuals (either acting alone or collectively) are able to exercise their agency in responding to and challenging global flows, and how improvisation (as both a critical musicking practice and a fieldwork methodology) might move and illuminate this agency. Several key questions that are carrying us into our research project include: Does improvisation engender strong, flexible identities in individuals? Or do individuals with strong, flexible identities gravitate toward improvisation? To what extent does improvisation already play a part in the circulation of ethical dialogue and action throughout South Texas? How can one claim all of one's personal histories without locking oneself into fixed models that placate to the contours of iconic images? Could our research provide a critical localized and humanized perspective of what Appadurai has called "globalization from below"?
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.039 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
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".