Bibliographic record
Abstract
Five large format artist proofs of photographs that were printed during the artist's residency at the Banff Centre for the Arts, Alberta, Canada. They are comprised of giclée on Epson enhanced matte paper. Prints depict photographs taken by Carruthers during her research trip to Athabasca Glacier in Alberta on May 23rd, 2017 and subsequently used as inspiration for her composition, slippages. Image 1: "(AP) Athabasca - May 23, 2017. Printed @ Banff Centre May 2017. Giclée on Epson enhanced matte paper. Borders as per top / bot." Image 2: "(AP) Athabasca May 23, 2017. Printed @ Banff Centre May 2017. Giclée on Epson enhanced matte paper. Borders as per top / bot." Image 3: "(AP) Athabasca - May 23, 2017. Printed @ Banff Centre. Giclée on Epson enhanced matte paper. NB: Borders to be trimmed as per top / bot" Image 4: "(AP) Athabasca May 23, 2017. Printed @ Banff Centre May 2017. Giclée on Epson Enhanced Paper. (NB: Lt + Rt Borders to be trimmed as per top / bottom)" Image 5: "(AP) Athabasca - May 23, 2017. Printed @ Banff Centre May 2017. Giclée on Epson enhanced matte paper. (NB: Left + Right Borders to be trimmed as per top / bot.)"
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.624 | 0.335 |
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; the direct Gemma label and the distilled Codex classifier 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".