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
This book is available as open access through the Bloomsbury Open Access programme and is available on www.bloomsburycollections.com. From New Orleans to New York, from London to Paris to Venice, many of the world’s great cities were built on wetlands and swamps. Cities and Wetlands is the first book to explore the literary and cultural histories of these cities and their relationships to their environments and buried histories. Developing a ground-breaking new mode of psychoanalytic ecology and surveying a wide range of major cities in North America and Europe, ecocritic and activist Rod Giblett shows how the wetland origins of these cities haunt their later literature and culture and might prompt us to reconsider the relationship between human culture and the environment. Cities covered include: Berlin, Boston, Chicago, Hamburg, London, New Orleans, New York, Paris, St. Petersburg, Toronto, Venice and Washington.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.998 | 0.938 |
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