Bibliographic record
Abstract
In this article, I describe the making of a piece of artwork entitled Dead Amongst the Living, which is about a small area of Caledonia pine forest in the Abernethy region of Scotland, and, in particular, its standing deadwood. I describe and reflect on the work as it has evolved over a period of years: work that constitutes a record of a particular place. The work considers the often overlooked, and attempts to map and record the standing deadwood that continues to support the living ecosystem long after these trees have fallen, decayed and disappeared. The making of this work contains the implicit hidden performances of my repeated walks through a particular piece of woodland and my attempts to re-find and document these dead trees. John Burnside talks about how “on foot, we become ecologists because, walking, we have the potential to see the world as it is, ….as the here and now, the immediate, the intimate ground of our being,” and it is those close connections, and the inherent poetics and metaphors of place which I'm interested in exploring. My walks are part discovery and re-discovery, part reflection, part observation, listening and encounter; within which lie processes of re-thinking, re-contextualising and comparison, and the outcomes include photographs, etchings, books, soundpieces, GPS drawings and video. Time, familiarity, state of mind, changes of seasons and different weathers all change the way we can experience and be in a place. My walks, photographs, sketchbooks and outputs constitute a subtle recording of change, in terms of both place and self. They contain the palimpsests of my journeys through this space, my own evolving history and evolving arts practice.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.024 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".