Bibliographic record
Abstract
Neil Berecry-Brown is said to have gone feral. An artist and farmer, he has done time in institutions (Curating and Education with the Vancouver Art Gallery Extension Department); served on the board of Artspace Sydney and directed artist-run initiatives, Synapse Art Initiatives and Gosford Art Flux Forum. Previously a psychologist, he helped establish the Masters course in Art Therapy at the University of Western Sydney and was later employed as a consultant within the program. A recovering academic following twenty years teaching art history, theory and studio (Sydney College of the Arts and College of Fine Arts, Sydney, with some work at the universities of Western Sydney and Newcastle.) Currently he is Director of Brown’s Cows Art Projects and engaged in polyvalent art practice. This open-ended quest is for discovery of rural attributes pertinent to contemporary art and finding strategies of meshing locally inflected practice with global dynamics. Past and present projects will be described to present a polyvalent strategic model of contemporary practice: of imbeddedness outside the system. The work is part of an ongoing, and open-ended process of identifying the rural, or local, as a specific paradigm of cognition and of poetic resonance, which might provide an imaginative antidote, and dialogical foil, to prevailing orthodoxy. The presentation will examine work with the Mangrove Mountain & Districts Country Fair, as a model event that meshes contemporary art, community engagement and new rural initiatives.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.285 | 0.059 |
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".