Correction Lines:Printed Matter (Group Exhibition), The Strzemiński Academy of Fine Arts Łódź, Poland
Bibliographic record
Abstract
Correction Lines is a series of 24 large landscape prints based on the architecture of the Prairie. A collaboration with Professor Gavin Renwick – that was initiated for the exhibition Counterpoints in 2012 and completed in April 2019 as part of my visit to the University of Alberta as Cameron Visiting Professor in Northern/circumpolar research.<br/><br/>A selection of this folio exhibited as part of ‘Printed Matter’, an exhibition of works by the faculty, staff, and graduate students from the Department of Art & Design / Printmaking at the University of Alberta, Canada.<br/><br/>Galeria Kobro | Kobro Gallery Akademia Sztuk Pięknych im. Władysława Strzemińskiego w ŁodziThe Strzemiński Academy of Fine Arts Łódźul. Wojska Polskiego 121, Łódź, Poland
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.005 |
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".