Bibliographic record
Abstract
Forthcoming publication, for which funding was received to engage in research and development in Orkney (in April and May 2020); however, this trip has been postponed. The book uses narrative prose and poetry via the first-person perspective of the female protagonist. Inspired by landscapes and folklore in Orkney and the Western Highlands, as well as the raven as ‘trickster’ from the Haida culture in British Columbia, Canada, the narrative explores issues of memory, belonging, language and changing subjectivities. Interest has been expressed from publishers, including: Saraband, Cranachan and Luath Press. I was commissioned as Artist-in-Residence for Enough! Scotland (artists’ collective) for research and development of forthcoming book (see above), November 2019-present. As part of this residency, we are also producing a zine and digital zine (as yet untitled). This includes my poetry, photos and sound files. (Please note that the fields below relate to the zine, and not to the book. The latter is still being written, but interest from publishers has been expressed.)
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 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.610 | 0.462 |
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".