Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract In the summer of 2020, two museums in Vancouver, British Columbia, Canada, simultaneously hosted art exhibitions by Indigenous artists. The Vancouver Art Gallery (VAG) hosted an exhibition of works by Shuvinai Ashoona, an Inuk artist part of the Dorset Fine Arts Co‐operative, based in Kinngait, Nunavut. At the same time, the Museum of Anthropology (MOA) hosted an exhibition of the work of Kent Monkman, a Cree artist known for exploring themes of colonization and sexuality in his work. Each exhibition offered signage in an Indigenous language: in Inuktitut and Cree, respectively. Reflecting on the ways Inuktitut and Cree were used in these exhibitions has led us to write this review article, in which we draw on recent scholarship that addresses questions of language in museum spaces (Sönmez et al., 2020; Lazzeretti, 2016).
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 it