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 The post‐depositional afterlife of an archaeological site is often viewed as the least important aspect of its history and outside of traditional archaeological interest. In the case of industrial sites, this elision ignores one of the most important aspects of industrial history, namely the long‐term effects of toxic waste. In an era where industrial pollution and anthropogenic climate change are rapidly changing the future of life on this planet, the stakes of understanding the effects of industrial waste are vital. This article outlines a reflexive, ecologically focused archaeology that interrogates the afterlives of industrial waste, not as a method to get back to the history of production, but as a means for taking seriously these afterlives as a defining characteristic of life in the Anthropocene. Using the concept of the ecological lives of industrial waste to explore the (post)industrial history of Mill Creek Ravine—a historically important industrial area in Edmonton, Alberta— this article argues that the decomposition of industrial waste serves as both a medium for long‐term harms, as well as the locus for emergent relations and critical investigation.
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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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