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
Much has been learned from the basin of the Candelaria River, Campeche, Mexico: the fabric of a densely settled pre-Historic landscape, including impressive ceremonial centers; the logistics of an ancient entrepôt; the process of exploitation of dyewood and chicle in historic times; as well as the doubtful results of the mid-twentieth-century colonization of an “empty” forested basin. It also yielded the first evidence of more or less intensive pre-Hispanic wetland agriculture in the Maya region and the remains of a profuse network of fluvial transportation from prehistoric times to the present. This article presents recent evidence regarding the management of the river system itself by means of barriers, or “dams,” which facilitated agriculture in the wetlands upstream and extensive canoe travel. These structures seem to be elaborations or imitations of the numerous natural barriers already in the stream. Two models help explain context and function. It has become apparent that the human interventions into the wetlands and the river system are to be seen less as great attainments of civilization than as fairly desperate expedients in the face of climate change.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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