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
In the almost four years since The Arctic: While the Ice Is Melting opened (October 2019), we have experienced a global pandemic and now find ourselves teetering on the edge of catastrophic ice melt. With exhibits, elaborate installations, ceiling projections, and interactive stations, this award-winning exhibition frames Indigenous communities and the work of non-Indigenous researchers through the omnipresence of ice and ice melt around the Arctic, encompassing Alaska, Inuit Nunangat (Canada), Kalaallit Nunaat (Greenland), Iceland, Svalbard and Norway, Sweden, Finland, and Russia. It is expansive in its thematic outlook and asks us to think about an Arctic without ice and the implications of this for Indigenous societies and cultures. With the exhibition extended throughout 2023, and given the latest news on predicted summer sea ice levels, the urgency of its message is perhaps now even more palpable.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| 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 | 0.032 |
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