Bibliographic record
Abstract
In my thesis I have written a collection of poems determined by a gridded map of my memory \nof Belleville Ontario. The map is a grid made of equilateral triangles assigned to letters in a \nregulated pattern. The poems move across the surface of the grid and, in that process, each \nfacet of the grid is nominated as a corresponding concept divided from the total Belleville. The \npoems playfully explore the conflation of the municipal and modernist grids by having bodies \nnavigate my abstracted space and the actual space of Belleville simultaneously. The ambiguity \nbetween situation and abstraction corresponds with the current state of Belleville. There is \nnow a booming tourist industry on the Bay of Quinte. Positioned along the often flooding \nwater, Belleville’s future is contingent on capitalist speculation and climate change. The \npoems use different configurations of triangles across the grid to prompt multiple poetic \nforms. There are many instances of coordinates reoccurring in these virtual derivés, an \nexpression of their situation as well as the multiple paths being taken.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".