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
Imagining Air tackles air as a cultural, medical, and environmental phenomenon. Its major aim is to explore air’s visibility and invisibility within the environment through the investigation of such phenomena as pollution and pandemics. The book provides environmental and medical perspectives on air, in particular how it has historically been envisioned in U.S., Canadian and British cultural and literary narratives. The authors explore how these representations and the constructed meanings of air can help us understand the complex nature of air as it pertains to the COVID-19 pandemic, air pollution and broader environmental degradation. Chapter authors: Siobhan Carroll, Jeff Diamanti, Corey Dzenko, Clare Hickman, Tatiana Konrad, Jayne Lewis, Chantelle Mitchell, Christian Riegel, Arthur Rose, Gordon M. Sayre, Savannah Schaufler.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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