Bibliographic record
Abstract
What is it to be located? What are the markers of communication that travel with us, or that we seek locally? Recent art practices that address notions of geography, migration, settlement and travel in an increasingly ‘globalized’ and mediatized world are presented in this paper. With Montreal, Canada as the site of location, this research explores ways in which experience intermingles in the poetics of visual translation of ‘real world’ imagery into textile-based responses. Travel and ‘the local’ suggests a map, a rhizome, consisting of multiple entry points “entirely oriented toward an experimentation in contact with the real”, as Deleuze and Guattari have observed. That the map is an ever-shifting terrain, conceived as a garden or work of art, woven as a political action or meditation, with potential to be reworked by an individual, group or social formation suggests the instability of identity, locality and of mapping. Focusing on interdisciplinary approaches to constructing cultural objects or experiences, this paper explores ways embodied knowledge affects both production and the sites in which stories are told. In particular, the impact of analogue and digitally assisted, cyborgian practices are compared in regards to bodily experience and subsequent haptic responses. These are textiles that conceptually navigate borders and traverse locality, mapping new meanings at the intersections of the corporeal, theoretical and material.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.021 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".