Bibliographic record
Abstract
Abstract for Lecture Performance Thirteen points – fragments of image, object, action; slices of matter, memory, history, mediation – are identified: one for each of the ‘Peace Wall’ clusters situated in and around the city of Belfast, Northern Ireland. Each of these becomes the starting point for a piece of writing that seeks to magnify it, hyperbolically; narrate it, fictitiously; study it, obsessively; arrange it, haphazardly. The ‘Peace Wall’ clusters have existed and developed as markers of sectarian division in Belfast for the past forty-five years. This lecture performance seeks to explore the physical, psychological, emotional and imaginative effects of this on the city. Description of Event: Never the Same: what (else) can art writing do? An International Symposium on the Agencies and Futures of Art Writing 15-17 September Arts Commons 234 9th Avenue SE Calgary, Canada Over the past few decades multiple modes of creative and critical writing have proliferated in art worlds. A range of approaches – from ficto-criticism, speculative fiction, performative writing, site-writing, poetic innovations, new mediations and alternative forms of criticism – have made political, philosophical and academic space for art writing. Dylan Thomas notes, ‘A good poem is a contribution to reality. The world is never the same once a good poem has been added to it. A good poem helps to change the shape of the universe, helps to extend everyone’s knowledge of himself and the world around him.’ His phrase ‘never the same’ evokes the articulation of mutable writing approaches which refuse to accept art discourses and production as business-as-usual. Never the Same: what (else) can art writing do? asks, what are the places for, and political implications of, de-instrumentalized forms of writing? In an age of austerity, neocolonialism, neoliberal uses of creativity, art marketing, grant writing and practice based PhD work, how can writing by and for artists and their work enact resistance to such forces? What are the language forms (re)emerging in the present? How might art writing be considered as an ethical practice towards an understanding/in defense of artistic knowledge? How do (re)emergent modes of artistic writing enact agonisms and solidarities in relation to art audiences?
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.485 | 0.281 |
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".