Bibliographic record
Abstract
I have eyes in the back of my head. That's okay; at school I was called 'four eyes'. I can see out of the 'north window' of the house at the same time that I can see through the 'south window. This is a large house that stretches east to west, a house of many windows. Facing north there are large feature windows and glass sliding doors, but the 'northern window' I focus through is that of a small room behind a store room. The 'south window' is actually the window of the library. There are a variety of rooms between these north and south windows, and they are not opposite each other in any way. Still, I maintain, I can see out of both simultaneously. Within both I am motionless, I am enclosed within their surface, though what is outside is also timeless, motionless, and includes all other points. I am of a set that contains itself, and this is the poetry I write. It is wheatbelt Western Australia. The farms that surround me - us - are primarily 'wheat and sheep', though some canola and cattle have come into the district over the last decade. The town is the oldest inland town in Western Australia. It is a nexus of dispossession, though that's not how most of the nonindigenous locals see it, of course. I wrote a book a few years ago in collaboration with the American fiction writer and editor David Lynn on 'The House'. The houses I utilised for that book were this one and the one in which I was living with my family in Gambier, Ohio. David wrote very short fictions, I wrote a series of poems. The book remains unpublished; we never really pushed for a publisher. I was interested in 12 SOUTHERLY houses in Australian poetry, and I see I am far from alone in that. From a 'personal poetics' point of view, I am interested in the specific spaces of two rooms, looking out. In vistas and their contractions. I write on an old manual typewriter in the north room, and on a word processor in the south room. I write in pen in both. The house - this house near York - was designed quite mathematically. I am becoming more convinced that, like music, poems are really maths, and that words can be dispensed with. I am looking for a different kind of nomenclature. But it all overlays, and that was always and will always be the case itself.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.100 | 0.029 |
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".